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ICML
2006
IEEE
14 years 9 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 9 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 9 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
CVPR
2010
IEEE
14 years 4 months ago
Personalization of Image Enhancement
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Sing Bing Kang, Ashish Kapoor, Dani Lischinski
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
14 years 3 months ago
Adaptive long range vision in unstructured terrain
— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben...