图 书 馆开课单位--加州大学
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51Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension[随机PCA算法与遗憾的界限，在尺寸的对数]
Manfred K. Warmuth(加州大学) We design an on-line algorithm for Principal Component Analysis. The instances are projected into a probabilistically chosen low dimensional subspace....
热度：84
Manfred K. Warmuth(加州大学) We design an on-line algorithm for Principal Component Analysis. The instances are projected into a probabilistically chosen low dimensional subspace....
热度：84
52Fast Non-uniform Deblurring using Constrained Camera Pose Subspace[使用约束相机姿态子空间的快速非均匀去模糊]
Zhe Hu(加州大学) Camera shake during exposure time often results in non-uniform blur across the entire image. Recent algorithms model the non-uniform blurry image as a...
热度：53
Zhe Hu(加州大学) Camera shake during exposure time often results in non-uniform blur across the entire image. Recent algorithms model the non-uniform blurry image as a...
热度：53
53Statistical Relational Learning - Part 3[统计关系学习-第3部分]
Lise Getoor(加州大学) Statistical relational learning raises many new challenges and opportunities. Because the statistical model depends on the domain's relational str...
热度：39
Lise Getoor(加州大学) Statistical relational learning raises many new challenges and opportunities. Because the statistical model depends on the domain's relational str...
热度：39
54Trees, Arrays, Networks and Optimization for Finding Patterns in Biological Sequences[树阵，在生物序列中查找模式，网络优化]
Dan Gusfield(加州大学) a) The use of suffix trees and integer programming for finding optimal virus signatures. b) A current treatment of suffix-arrays and their uses. In th...
热度：67
Dan Gusfield(加州大学) a) The use of suffix trees and integer programming for finding optimal virus signatures. b) A current treatment of suffix-arrays and their uses. In th...
热度：67
55Identifying Suspicious URLs: An Application of Large-Scale Online Learning[识别可疑URL：大规模在线学习的应用]
Justin Ma(加州大学) This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based featu...
热度：71
Justin Ma(加州大学) This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based featu...
热度：71
56Ranking by Stealing Human Cycles[通过窃取人类周期排名]
Tingfan Wu(加州大学) Ranking objects is a challenging task for machines. The main difficulty is that some characteristics of interest lack objective criteria. As the Inter...
热度：49
Tingfan Wu(加州大学) Ranking objects is a challenging task for machines. The main difficulty is that some characteristics of interest lack objective criteria. As the Inter...
热度：49
57Toward joint segmentation and classification of dialog acts in multiparty meetings[对关节的分割和多方会议的对话行为分类]
Matthias Zimmermann(加州大学) We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based...
热度：49
Matthias Zimmermann(加州大学) We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based...
热度：49
58Fast Support Vector Machine Training and Classification on Graphics Processors[快速的支持向量机的训练与分类上的图形处理器]
Bryan Catanzaro(加州大学) Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance implementations of machine learnin...
热度：55
Bryan Catanzaro(加州大学) Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance implementations of machine learnin...
热度：55
59Chordal Sparsity in Semidefinite Programming and Machine Learning[半定规划和机器学习中的弦稀疏]
Lieven Vandenberghe(加州大学) Chordal graphs play a fundamental role in algorithms for sparse matrix factorization, graphical models, and matrix completion problems. In matrix opti...
热度：54
Lieven Vandenberghe(加州大学) Chordal graphs play a fundamental role in algorithms for sparse matrix factorization, graphical models, and matrix completion problems. In matrix opti...
热度：54
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