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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 10 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 10 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 6 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 7 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 4 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