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» Algorithms for Pattern Involvement in Permutations
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SIGIR
2006
ACM
15 years 8 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
99
Voted
CHI
2002
ACM
16 years 2 months ago
Interactive querying of time series data
Title of Dissertation: INTERACTIVE GRAPHICAL QUERYING OF TIME SERIES AND LINEAR SEQUENCE DATA SETS Harry Hochheiser, Doctor of Philosophy, 2003 Dissertation directed by: Professor...
Harry Hochheiser
DATE
2005
IEEE
167views Hardware» more  DATE 2005»
15 years 8 months ago
A New Task Model for Streaming Applications and Its Schedulability Analysis
In this paper we introduce a new task model that is specifically targeted towards representing stream processing applications. Examples of such applications are those involved in...
Samarjit Chakraborty, Lothar Thiele
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 3 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
ICPR
2004
IEEE
16 years 3 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna