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» A supervised learning approach for imbalanced data sets
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ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
15 years 3 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 11 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
16 years 1 days ago
Collision detection in legged locomotion using supervised learning
Abstract— We propose a fast approach for detecting collisionfree swing-foot trajectories for legged locomotion over extreme terrains. Instead of simulating the swing trajectories...
Finale Doshi, Emma Brunskill, Alexander C. Shkolni...
ICCV
2007
IEEE
16 years 2 days ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 7 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang