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» An Experimental Study on Feature Subset Selection Methods
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KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 8 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
ICASSP
2011
IEEE
14 years 7 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
PODS
2002
ACM
168views Database» more  PODS 2002»
16 years 4 months ago
Conjunctive Selection Conditions in Main Memory
We consider the fundamental operation of applying a conjunction of selection conditions to a set of records. With large main memories available cheaply, systems may choose to keep...
Kenneth A. Ross
NIPS
2007
15 years 5 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
VR
2010
IEEE
139views Virtual Reality» more  VR 2010»
15 years 2 months ago
Buttonless clicking: Intuitive select and pick-release through gesture analysis
Clicking is a key feature any interaction input system needs to provide. In the case of 3D input devices, such a feature is often difficult to provide (e.g. vision-based, or trac...
Ali Choumane, Géry Casiez, Laurent Grisoni