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CVPR
2008
IEEE
14 years 9 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ICASSP
2011
IEEE
12 years 11 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
ICML
2006
IEEE
14 years 8 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
ICML
1997
IEEE
14 years 8 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
CICLING
2009
Springer
14 years 8 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau