由买买提看人间百态

topics

全部话题 - 话题: sparse
首页 上页 1 2 3 4 5 6 7 8 9 10 下页 末页 (共10页)
c******n
发帖数: 100
1
本来已经接了Amazon的offer,但是还是想来FB看看。觉得campus 好大。
面的很一般,System Design 很差,一个Ninja也很一般。希望渺茫,求大家bless.
1, Jedi, behavioral + projects + one coding (phone number permutation)
2, Ninja, a) k closest points to a given point(quick select).
b) dot product of sparse matrices.
3, pirate, Design Messager. 必挂无疑了。
4, Ninja, a) longest increasing contiguous sequence in an array (
leetcode)
b)longest increasing sequence in an array(sequence does
not need to be contiguous). For instance, 1,... 阅读全帖
h****t
发帖数: 69
2
Dot product of sparse matrices 的面试官是做ML和feed ranking 的吗?我onsite时
也碰到这题,记得问这题前会说到matrix代表user看过的movie,然后问如何recommend?
接着才问如何efficiently compute dot product。
h****t
发帖数: 69
3
呃看样子是我理解错了,我当时的面试官是白人,也是ML,问的是efficient
computation of dot product between all rows of a sparse matrix.
h*********o
发帖数: 230
4
dot product of sparse matrice 是啥?
S********0
发帖数: 5749
5
来自主题: JobHunting版 - 发点面经回馈下本版的帮助
从去年11月份开始,一直在本版向各位大牛取经学习。 最近刚刚接了M家的offer,job
hunting终于告一段落,虽然失败了很多,面试拿的也少,但对于一个非cs phd的背景
,已经很知足了。我背景是engineering,主要就是写code,做模拟,能转行主要是因
为学了些并行计算的东西,研究中写了大量的code,读了我们这个领域的一个famous
open source code,从professional programmer里学到了很多实践经验。 虽然有些经
验,但实际找工作工程中大多数公司理都不会理我,Airbnb一个recruiter跟我说过一
些,大概意思就是说每天收到太多简历,对于非CS学生,仅仅从从简历上很难看出什么
, 所以非CS学生争取能多修几门cs的课,把keyword放上去。不然就像我一样,就是内
推也被拒或者石沉大海,这里面包括了很多本版好心的人帮我内推的,有ebay,
linkedin, twitter, oracle 等。 在这里也想对帮助过我的人说声谢谢,以后我也会
帮助国人。
leetcode是从去年11月份yahoo是onsite失败后开始刷的... 阅读全帖
k*******e
发帖数: 24
6
Graph representation:
http://en.wikipedia.org/wiki/Graph_%28abstract_data_type%29#Rep
If the matrix is sparse (most likely in real case), then lots of
opportunities to reduce the storage.
d****y
发帖数: 58
7
来自主题: JobHunting版 - apple data scientist面经
只能是呵呵了~
第一个电话面试其实是跟Hire manager,他聊完之后很快给我安排了第二轮电话面试。
是一个印度人。当时觉得还挺nice的。
第二轮电话面试之后的5分钟之内我收到HR的回复说可以Onsite了。当时一个兴奋啊。
是一个老美,特别好!
Presentation是给他们全组人present. (三四个印度人,四五个美国人,我也记不清
具体人数了。反正还有全程austin分部的也有在听。)当时他们表现出来还是蛮感兴趣
的,问了不少问题。我具体做的是time series analysis, source separation. 用一
些machine learning 的model, 比如HMM, FHMM, sparse coding, 然后在这些model上
做了相应的改进。因为presentation是45mins,按照流程上说的我是present完之后有
15mins的问题。所以当时slides就做了三个projects的。但是因为讲的时候一直会有问
题,所以讲了一个research project.也是我花的时间最多的Project。
要是说我的project跟... 阅读全帖
a*****e
发帖数: 1700
8
来自主题: JobHunting版 - 今早的G电面,郁闷坏了...
这个题相当简单,是从 rectangle set 映射到 disjoint rectangle set 的操作。然
后可以继续分解为将单个 rectangle 插入到 disjoint rectangle set 的操作就好了
。效率取决于这个 disjoint set 的实现,用 sparse 矩阵方式可做。
我十几年前就写过这样一个程序,用来计算 2D GUI 每次更新渲染时对应到屏幕上的
dirty set,非常简单,效率也很好。
x****k
发帖数: 2932
9
来自主题: JobHunting版 - 今早的G电面,郁闷坏了...
这楼不是拿来bso。你觉得简单,恭喜你水平高。现在讨论的是这题适不适合电面。就
算不考虑老中帮,这题也过分了。
就好像说,请用O(N)的效率实现substring search,面试的要是不知道kmp就挂了。
lz不知道sweep line也挂了。
另外针对显示屏幕的sparse矩阵容易,要是scale是2M*2M你怎么办?
k*****L
发帖数: 55
10
来自主题: JobHunting版 - Zenefits 面经 OA+Skype+onsite
我也是onsite挂在一个国人手上,也是一个闲扯的问题,是不是同一人?
电面遇到两个老印,都很nice。onsite两轮都是国人。第一个国人也很nice,问了我三
个问题,第一个问题很简单,不记得了。第二个问题是word search II,第三个问题是
sparse matrix 的加法和乘法。
第二个国人的问题是design一个e-commerce系统,态度很不友好,总是打断我的话,还
在没听懂我的idea的时候乱否定我的想法。
Recruiter说其它人,包括老印,都给了非常好的feedback,有的还非常strong。就是
这一轮的feedback是negative。
e****t
发帖数: 11
11
来自主题: JobHunting版 - Facebook 加面 Design 题

先是问 sparse matrix product 算法。然后就是要做成distributed,问怎么
partition, 怎么算。 大概思路是?
d******e
发帖数: 2265
12
来自主题: JobHunting版 - Facebook 加面 Design 题
pagerank就是图的flooding迭代。
至于并行算法,都是经典的example了。
不认为sparse matrix是最佳算法。
r*****n
发帖数: 17
13
来自主题: JobHunting版 - U电面经历
也许我没看仔细,这个解法似乎没有解决sparse caller的情况:比如说20秒的window
,前10秒每秒调用1次,这样buffer的每个counter是1,后10秒只在最后1秒调用1次,
那么前面的9个couter清空了么?

11
time
a*****h
发帖数: 36
14
本着国人互助以及传递正能量的真理,发一下我个人找工作过程中整理的machine
learning相关面经以及一些心得总结。楼主的背景是fresh CS PhD in computer
vision and machine learning, 非牛校。
已经有前辈总结过很多machine learning的面试题(传送门: http://www.mitbbs.com/article/JobHunting/32808273_0.html),此帖是对其的补充,有一小部分是重复的。面经分两大块:machine learning questions 和 coding questions.
Machine learning related questions:
- Discuss how to predict the price of a hotel given data from previous
years
- SVM formulation
- Logistic regression
- Regularization
- Cost function of neural networ... 阅读全帖
a*****h
发帖数: 36
15
本着国人互助以及传递正能量的真理,发一下我个人找工作过程中整理的machine
learning相关面经以及一些心得总结。楼主的背景是fresh CS PhD in computer
vision and machine learning, 非牛校。
已经有前辈总结过很多machine learning的面试题(传送门: http://www.mitbbs.com/article/JobHunting/32808273_0.html),此帖是对其的补充,有一小部分是重复的。面经分两大块:machine learning questions 和 coding questions.
Machine learning related questions:
- Discuss how to predict the price of a hotel given data from previous
years
- SVM formulation
- Logistic regression
- Regularization
- Cost function of neural networ... 阅读全帖

发帖数: 1
16
来自主题: JobHunting版 - Uber 面经
Uber:
1. Merge Two Sorted Lists
2. Sparse Matrix Multiplication
3. 给一个n列类似俄罗期方块的盘, 往下掉方块. 方块定义如下:
class Block {
int left;
int right;
int height;
}
其中 0<= left < right < n , 像俄罗斯方块一样会叠起来. 求最高高度
class FallingBlock {
public FallingBlock(int width);
public void fallBlock(Block block);
public int getMaxHeight();
}
4. design whatsapp

发帖数: 1
17
来自主题: JobHunting版 - 问一个怎么存很大两维数组
两维数组,如果很大,1billion * 1billion,怎么存。答分块,然后存到不同的机器
上,用上下左右,来存周边的机器。然后估算要多少台机器,答如果每个数4bytes,4g
的机器,则需要1billion的机器。1billion机器太多,问怎么办,答假如array 是
sparse 的话,可以压缩。面试官说所有的数都不重复。那怎么办,我说能不能给个提
示,他说增加内存到8g,我说那还需要半个billion机器。感觉他最后只是在糊弄。请
问大家这个怎么答。
t********k
发帖数: 48
18
来自主题: JobHunting版 - Google Data Scientist/Statistician Recruiting
Google is recruiting statisticians, data scientists, and quantitative
analysts to join our engineering teams in search, advertising, and
infrastructure. If you are looking for a challenging and rewarding
environment to start your career or if you already have a successful career
and want a change then please take a look at the postings below. My own
group will grow by several people over the next several months. Our team's
day-to-day work is full of examples of truly big data problems you can
en... 阅读全帖
t********k
发帖数: 48
19
来自主题: JobHunting版 - Google Data Scientist/Statistician Recruiting
Google is recruiting statisticians, data scientists, and quantitative
analysts to join our engineering teams in search, advertising, and
infrastructure. If you are looking for a challenging and rewarding
environment to start your career or if you already have a successful career
and want a change then please take a look at the postings below. My own
group will grow by several people over the next several months. Our team's
day-to-day work is full of examples of truly big data problems you can
en... 阅读全帖
o*q
发帖数: 630
20
来自主题: JobHunting版 - 请教leetcode高频题是哪些题
# Title Editorial Acceptance Difficulty Frequency
1
Two Sum 28.3% Easy
292
Nim Game 54.4% Easy
344
Reverse String 57.3% Easy
136
Single Number 52.2% Easy
2
Add Two Numbers 25.6% Medium
371
Sum of Two Integers 51.6% Easy
4
Median of Two Sorted Arrays
20.4% Hard
6
ZigZag Conversion 25.6% Easy
13
Roman to Integer 42.7% Easy
237
... 阅读全帖
h*********n
发帖数: 11319
21
来自主题: JobHunting版 - 脸昂赛
1 behavior + 3sum
2 minimum window substr
3 sparse vector multiplication
validate BST
4 design: 和简历相关
5 serialize/deserialize binary tree
这昂赛应该说水得比较彻底吧。做是都做完了,但是看我这做题速度,大概率要挂,算
了,发出来攒个人品
干软工五年,今天终于第一次在project里写了个递归,感慨一下刷题的意义。

发帖数: 1
22
下面是单线程,而且图是adjacency list
public class Solution {
//5763 ms, method: bfs, 时间O(N + E),空间O(N)。
public List> connectedSet(ArrayList
nodes) {
List> res = new ArrayList<>();
List path = new ArrayList<>();
Set visited = new HashSet<>();
for (UndirectedGraphNode node : nodes) {
if (!visited.contains(node)) {
path.clear();
Queue阅读全帖

发帖数: 1
23
Nobody knows?

发帖数: 1
24
来自主题: JobHunting版 - 求FB 面试 leetcode题目列表
534 Design TinyURL 0.0% Medium
283 Move Zeroes 50.7% Easy
301 Remove Invalid Parentheses 35.5% Hard
273 Integer to English Words 22.4% Hard
621 Task Scheduler 42.4% Medium
67 Add Binary 33.2% Easy
325 Maximum Size Subarray Sum Equals k 43.1% Medium
689 Maximum Sum of 3 Non-Overlapping Subarrays 41.2% Hard
253 Meeting Rooms II 39.3% Medium
17 Letter Combinations of a Phone Number 35... 阅读全帖

发帖数: 1
25
来自主题: JobHunting版 - Google team match
周五收到recruiter联系,positive feedback,需要team match, 求大佬收留。
背景:computer engineering硕士,4年多工作经验。工作内容比较偏lower level,熟
悉computer/system architecture, os, 工作主要也是在这一块儿。但想做web
infrastructure,比如distrubited system,web back-end 之类的,另外,任何偏底
层的software也有兴趣。
distributed system没有实际工作经验,但自学了很多东西,写过一些小的project,
比如consensus protocol,consistent key-value store system 之类的。
万分感谢!
以下是面经:
1. 设计算法 让机器人覆盖整个map。给定map 二维数组和机器人的operation,turn()
和 move()
2. sparse vector,设计怎么represent,修改,以及vector 相乘的操作。不同算法实
现,对比。
3. 一个数组,两个 pl... 阅读全帖

发帖数: 1
26
数名博士职位,方向 Data Science/Machine Learning/AI,
实验室COSMOS和大公司AI业界前沿联系紧密, 学生在工业界或学术界发展机会很多。
COSMOS最近毕业PhD有去NVIDIA, IBM,AA, Samsung/Harman工作,也有去top school,
like Harvard, USC, Washington University 做教职或博后。
如果对申请博士项目感兴趣,可以尽快和Dr. Wang联系[email protected] 本人是UTA
COSMOS毕业生,非常推荐Dr. Wang!UT Arlington 位于美国人口第四大的DFW地区,是
目前美国经济发展最好的区域之一,生活丰富便利,大公司密集,实习和工作机会很多
。DFW机场有到北京,上海,香港的直飞航线。
===========================================================
PhD Openings in Data Mining & Machine Learning & AI for Fall 2018 &... 阅读全帖
b******b
发帖数: 21
27
Hi, all. We are looking for a summer intern, ideally a senior Ph.D student
specializing in Krylov solvers, to assist in an investigation of large
sparse unsymmetric linear systems. Candidates should be proficient in C or C
++. Knowledge of parallel computing and DAE will be a plus.
We are a small R&D group in a large semiconductor company in Dallas, Texas.
Forward your resume to b******[email protected] if interested.

发帖数: 1
28
UTA招数名博士,方向 Data Science/Machine Learning/AI,
PI: Dr. Shouyi Wang, 实验室COSMOS和大公司AI业界前沿联系紧密, 学生在工业界
或学术界发展机会很多。COSMOS最近毕业PhD有去NVIDIA, IBM,AA, Samsung
/Harman工作,也有去top school, like Harvard, USC, Washington University
做教职或博后。
如果对申请博士项目感兴趣,可以尽快和Dr. Wang联系[email protected]
本人是UTA COSMOS毕业生,非常推荐Dr. Wang!
目前研发项目包括
Apple/Foxconn International for Intelligent Manufacturing of iPhone
Samsung/Harman AI Group for Autonomous Cars
Facebook/Oculus, Brain Big Data Research / Brain-Computer Interfaces
NSF-... 阅读全帖
i****a
发帖数: 36252
29
let them sit in the family room ah
I personally don't like living room and family room to be separated. more
things to buy, more places to clean. and human gas is too sparse. one 客廳
is enough

吃?
r*****5
发帖数: 512
30
rt
目前有两个选项,我能想到的优缺点列举如下,因为刚开始看,所以有些地方可能看得
不全面或者缺少预测的点,请有经验的指点一下
1. 买地,找builder盖房,yard会大,周围邻居会sparse一些,最后会贵一些,
customerization的自由度会很大(比如,可以弄一个大的sunroom),买地要多花钱(
30k左右),处理土地需要花费(大概20k左右)
2. local有那种已经买好一大块地并规划好的那种小区,也能customerize一些室内结
构,yard会小,房子群的密度大(邻居之间yard 挨着yard),总体相对便宜
有些朋友指出说第一个选项不管怎么预算,最后都会大大大大的超支,请问是因为选项
1会在盖的时候有很多不确定因素吗?
谢过先
q******o
发帖数: 1107
31
How to Have a Winning Credit Score
It's that time of year again - when the discipline of maintaining our New
Year's Resolutions begins to fade. But your credit score doesn't have to.
Check out these helpful tips on how to turn your credit score into a winner.
CreditReport.com™ Members
Not all credit reports contain the same information! Upgrade to your 3-
Bureau Credit Report with 3 Scores and save!
Create a Winning Streak
If you have sparse credit history, one of the best ways to establis... 阅读全帖
l*****n
发帖数: 608
32
1. 通过shop discover买ip6 有5%的cashback; 一开始是没有的, 但是年底前后突然就
允许了. 这个其实是一个很大的deal 因为本身网上下单买ip 寄到免税州就已经有利润
了.
2. shop discover平时用没事, 但是小护士是大批量的上nordstorm之类的化妆品网站
搞. 甚至用他们家portal, 然后刷gc下单. 这个也是利润的主要来源.
3. 在中国消费有1%的cashback 汇率非常划算 在国内使用秒杀所有外币信用卡(即使是
免境外使用费的). 据说有人专门办了附卡, 在国内银联pos机上刷. 然后billpay disc
信用卡.
这三件都是disc大受欢迎的原因. 摸着良心说, 高多了肯定被disc关卡, 但是粗略一看
, 少量用是没有问题的. 所以以前定一个trigger然后人工审核的时代很安全, 现在应
该是disc招了不靠谱的data scientist 随便搞个sparse regression 或者
categorical regression model 在sas上跑一跑, 找些feature 出来就砍人. 老中用卡
... 阅读全帖
l**********s
发帖数: 116
33
来自主题: Parenting版 - 说一说初等数学的入门
买卖提之前有篇文章讲计算机发展史的
比如机械计算机时期的马工都是满手油腻,扳子钳子的debug :)
图灵二战破德密码也很好玩:解sparse matrix,最后还是靠着“嗨,希特勒”的敌人不
良习惯才破译了
蛮有意思的
a*****g
发帖数: 19398
34
State education agencies—often dismissed as poorly organized and thinly
staffed clearinghouses—are about to get a big infusion of responsibility
and authority with the recent passage of the Every Student Succeeds Act.
But it remains to be seen if those departments, most of which were hollowed
out by staff and budget cuts during the recession, are up to the job.
Under ESSA, the long-delayed revision of the Elementary and Secondary
Education Act, state departments will be charged with more of the ... 阅读全帖
a*****g
发帖数: 19398
35
来自主题: Parenting版 - Unpaid Lunch Tabs for Schools
摘要:
有的学生饭卡上没钱了——
学校不玩大方,被媒体一顿臭骂
学校玩大方的,结果欠一屁股账没人管
Like many parents of school-age children, Frances Frost tries to keep up
with the papers sent home in her daughter Natalie’s backpack. Sifting
through permission slips, picture day fliers, field-trip notices, and other
forms seems like a daily occurrence, and often somewhere lost in the pile is
a reminder to send money to her fifth-grader’s school cafeteria. As the
mother of four, refilling school lunch accounts is second nature by now, but
last ... 阅读全帖
e*******n
发帖数: 872
36
来自主题: Postdoc版 - 审稿机会:计算机领域 (转载)
【 以下文字转载自 I140 讨论区 】
发信人: endaimien (endaimien), 信区: I140
标 题: 审稿机会:计算机领域
发信站: BBS 未名空间站 (Fri Mar 14 14:02:05 2014, 美东)
我是会议的TPC member, 有很多审稿机会,有需要的请吧您的姓名,邮箱,工作单位发
给我。
会议稿件的范围如下,可以从中自选审稿的topic
Therefore, the theme for this conference is Advanced Intelligent Computing
Methodologies and Applications. Papers related to this theme are especially
solicited, including theories, methodologies, and applications in science
and technology.
Topics covering industrial issues/applications and academi... 阅读全帖
s*****u
发帖数: 407
37
来自主题: Postdoc版 - 代友发,招生物计算博后
Applications are invited for Postdoctoral Researchers to join Dr. Xiang Zhou
’s research group in the Department of Biostatistics at the University of
Michigan. Research in the Zhou lab focuses on the development of statistical
methods and computational tools for the analysis of large-scale and high-
dimensional biological data from genetic association studies and functional
genomic sequencing studies. Recent work includes: Bayesian hierarchical
models to quantify genome-wide inheritance, Bayesi... 阅读全帖
R********n
发帖数: 5904
38
来自主题: Returnee版 - 说大陆房价高,全世界都笑了
In 上海北京, probably your both arguments are not really true. Lots of fresh undergraduates there earn more than $1000 pm.
USA, Canada & Aurtralia have very low house prices because of vast land and sparse population. But think about San Paulo, Tokyo, Taipei, Moscow, Mombay, Paris, you can immediately find a different viewpoint.
t********h
发帖数: 456
39
来自主题: Returnee版 - 说大陆房价高,全世界都笑了
算房价和平均收入比吧,看看中国排在哪里
英国人均每年近3万美元,按你的数据二居是56万美元左右
北京人平均工资5万/年,目前5环边上100平米高层大概200万,真的不贵么

fresh undergraduates there earn more than $1000 pm.
and sparse population. But think about San Paulo, Tokyo, Taipei, Moscow,
Mombay, Paris, you can immediately find a different viewpoint.
o****y
发帖数: 790
40
【 以下文字转载自 Faculty 讨论区 】
发信人: outcry (outcry), 信区: Faculty
标 题: 学术界之风花雪月(5)食色,科研之性也!
发信站: BBS 未名空间站 (Sun Oct 24 02:24:48 2010, 美东)
disclaimer:学术八卦,文责不负:)
---------------------------------
我认为,要真正理解学术界的精髓,只需读懂“食“和”色”两个字。您可能不解,怎么
学术科研这么“阳春白雪”的东东和“食色”这等俗务扯上啦?
为了不使我的讨论太突兀,first, allow me to formally introduce myself:)
我就是传说中的“三俗”哥。第一,我好吃。基本到了“食不厌精”的地步。曾经
我一红颜知己评价我“吃嘛嘛香,干嘛嘛行”,虽然我知道是忽悠,但仍然深以
为许:)我还特好酒。不管洋酒,国酒,我都喜欢。对酒,我不但舍得花钱,
而且舍得花时间去研究和鉴赏。In order not to digress, I'll save this
topic for another day.... 阅读全帖
T**********y
发帖数: 157
41
来自主题: Returnee版 - 快来看牛逼的27岁教授
【 以下文字转载自 Faculty 讨论区 】
发信人: TenMilesADay (郭十迈), 信区: Faculty
标 题: 快来看牛逼的27岁教授
发信站: BBS 未名空间站 (Sun Mar 11 13:14:59 2012, 美东)
http://www.ccse.uestc.edu.cn/teacher/teacher.aspx?id=414
所有已经发表论文清单
(发表时间序)

【1】 周涛,傅忠谦,周佩玲,张建荣,张德学,”基于遗传算法的大规模流量
工程问题求解”,计算机应用,2003年第6期,43-45
【2】 杨春霞,周涛,周佩玲,刘隽,基于Multi_Agent的股市经济系统建模与
分析,自动化理论、技术与应用卷十,中国科学技术大学出版社,2003年,596-601(
中国自动化学会第18届青年学术年会会议论文集)
【3】 周佩玲,许民,赵亮,周涛,”混沌信号奇异性检测与外界冲击度量”,
数据采集与处理,Vol.19,195-198,2004
【4】 周涛,徐俊明,刘隽,”图直径和平均距离极值问题研究”,... 阅读全帖
b******7
发帖数: 639
42
THE BEAR MARKET IN STOCKS ENDED a year ago, but a lot of online traders and
investors apparently didn't get the memo. They cut back on equity
transactions in 2009 -- despite the 23.5% surge in the Standard & Poor's 500
-- and instead demanded more products and services. They got them. More
bonds, options, foreign exchange, commodities and mutual and exchange-traded
fund offerings; more social networks to combine their talents; more
education to wean themselves further from full-service brokerage... 阅读全帖
c*****e
发帖数: 1106
43
来自主题: Stock版 - CHK跌个没完了
In theory, YES, but CHK cannot cut on its own. CVX, SWN, ECA among other
big producers with solid balance sheet were all trying to grow productions
not long ago.
One particular issue about CHK is that it has accumulated a great deal of
acreage, much of it undeveloped. It managed to make a few deals, including
the recent $5B transaction with SWN, which actually only accounts for 7% of
the annual production. However, that window has passed, plus CHK has rebuilt
its balance sheet. Anyway, you can s... 阅读全帖
e*******n
发帖数: 872
44
来自主题: I140版 - 审稿机会:计算机领域
我是会议的TPC member, 有很多审稿机会,有需要的请吧您的姓名,邮箱,工作单位发
给我。
会议稿件的范围如下,可以从中自选审稿的topic
Therefore, the theme for this conference is Advanced Intelligent Computing
Methodologies and Applications. Papers related to this theme are especially
solicited, including theories, methodologies, and applications in science
and technology.
Topics covering industrial issues/applications and academic research
into intelligent computing will be included, but not limited to:
A. ALGORITHMS AND THEORIES
A1 Evolutionary Co... 阅读全帖
g*****y
发帖数: 1120
45
来自主题: Immigration版 - Machine Learning Journal审稿机会
paper keywords:
Local feature; sparse online learning; Large scale data
站内邮件send me link of your resume if interested in serving as reviewer.
Thanks!
z******n
发帖数: 397
46
来自主题: Immigration版 - 转审稿
key word:
super-resolution, remote sensing images, sparse structural manifold
embedding
journal 有 IF. 有兴趣的朋友站内个人简介及联系方式
Thanks
q*********3
发帖数: 470
47
key words: Super-resolution, Morphological component analysis (MCA),
Locality-constrained Linear
Coding (LLC), Sparse representation, Global and local optimization (GLO)
e*******n
发帖数: 872
48
本人是一个计算机类的会议的 program committee member,可以推荐审稿人,提供审稿
机会。审稿的
topic可以从下面的列表中任选。
请需要攒审稿冲EB1A的朋友联系我,站内邮件,把你的姓名,单位,职称,常用的
email地址一起发给我。
谢谢!
Topics covering industrial issues/applications and academic research into
intelligent computing will be included, but not limited to:
A. ALGORITHMS AND THEORIES
A1 Evolutionary Computation and Learning
A2 Genetic Algorithms
A3 Artificial Bee Colony Algorithms
A4 Cultural Algorithms
A5 Differential Evolution
A6 Memetic Algorithms
A7 Granular Computing
A8 Particle S... 阅读全帖
p*****9
发帖数: 273
49
来自主题: Immigration版 - CS/EE方向,求审稿机会
诚心求审稿机会。PhD期间做的方向是wireless networking, distributed computing,
sparse optimization 和 smart grid. 现在搞的是data center networks. 诚心求大
牛给审稿机会,站内联系,谢谢!
e*******n
发帖数: 872
50
来自主题: Immigration版 - 计算机类审稿机会, machine learning
有一篇论文要投稿,要推荐审稿人,内容是machine leanring, sparse coding,
learning to rank方面的。有兴趣的请把你的信息发到站内邮箱,包括你的姓名,单位
,职称,邮箱,研究方向。邮箱要用你工作单位的邮箱
首页 上页 1 2 3 4 5 6 7 8 9 10 下页 末页 (共10页)