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AI
1998
Springer
15 years 7 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
15 years 5 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
IJCAI
2007
15 years 4 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
144
Voted
CORR
2008
Springer
94views Education» more  CORR 2008»
15 years 3 months ago
Stateless and Delivery Guaranteed Geometric Routing on Virtual Coordinate System
Abstract-- Stateless geographic routing provides relatively good performance at a fixed overhead, which is typically much lower than conventional routing protocols such as AODV. Ho...
Ke Liu, Nael B. Abu-Ghazaleh
INFSOF
2006
103views more  INFSOF 2006»
15 years 3 months ago
Improving test quality using robust unique input/output circuit sequences (UIOCs)
In finite state machine (FSM) based testing, the problem of fault masking in the unique input/output (UIO) sequence may degrade the test performance of the UIO based methods. This...
Qiang Guo, Robert M. Hierons, Mark Harman, Karnig ...