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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 6 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
153
Voted
PERCOM
2006
ACM
16 years 5 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
CIARP
2009
Springer
16 years 19 days ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
163
Voted
MM
2009
ACM
209views Multimedia» more  MM 2009»
16 years 17 days ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
16 years 7 days ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin