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ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
15 years 4 months ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu
ICIP
2007
IEEE
15 years 4 months ago
A General Two-Dimensional Hidden Markov Model and its Application in Image Classification
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
HYBRID
2004
Springer
15 years 3 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
CGO
2004
IEEE
15 years 1 months ago
Probabilistic Predicate-Aware Modulo Scheduling
Predicated execution enables the removal of branches by converting segments of branching code into sequences of conditional operations. An important side effect of this transforma...
Mikhail Smelyanskiy, Scott A. Mahlke, Edward S. Da...
FOCS
2004
IEEE
15 years 1 months ago
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
We consider a stochastic variant of the NP-hard 0/1 knapsack problem in which item values are deterministic and item sizes are independent random variables with known, arbitrary d...
Brian C. Dean, Michel X. Goemans, Jan Vondrá...