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» Variational Relevance Vector Machines
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ECCV
2008
Springer
14 years 9 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 5 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
TVLSI
2010
13 years 2 months ago
Discrete Buffer and Wire Sizing for Link-Based Non-Tree Clock Networks
Clock network is a vulnerable victim of variations as well as a main power consumer in many integrated circuits. Recently, link-based non-tree clock network attracts people's...
Rupak Samanta, Jiang Hu, Peng Li
ICASSP
2011
IEEE
12 years 11 months ago
Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj...
GPEM
2008
128views more  GPEM 2008»
13 years 7 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood