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» Large-scale manifold learning
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ECML
2007
Springer
14 years 1 months ago
Semi-supervised Collaborative Text Classification
Most text categorization methods require text content of documents that is often difficult to obtain. We consider "Collaborative Text Categorization", where each document...
Rong Jin, Ming Wu, Rahul Sukthankar
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 11 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 10 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
CVPR
2010
IEEE
14 years 6 months ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
ANLP
2000
109views more  ANLP 2000»
13 years 11 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth