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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
14 years 6 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
AIIA
2007
Springer
14 years 3 months ago
Music Expression Understanding Based on a Joint Semantic Space
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were...
Luca Mion, Giovanni De Poli
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 3 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
NLDB
2007
Springer
14 years 2 months ago
Selecting Labels for News Document Clusters
This work deals with determination of meaningful and terse cluster labels for News document clusters. We analyze a number of alternatives for selecting headlines and/or sentences o...
Krishnaprasad Thirunarayan, Trivikram Immaneni, Ma...