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FLAIRS
2004
13 years 9 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
AROBOTS
2005
98views more  AROBOTS 2005»
13 years 7 months ago
Terrain Classification Using Weakly-Structured Vehicle/Terrain Interaction
We present a new terrain classification technique both for effective, autonomous locomotion over rough, unknown terrains and for the qualitative analysis of terrains for exploratio...
Amy C. Larson, Guleser K. Demir, Richard M. Voyles
WISE
2005
Springer
14 years 1 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
ICIP
2008
IEEE
14 years 9 months ago
Shot classification for action movies based on motion characteristics
In this paper, we propose a shot classification method for action movies. Considering that motion characteristic is very important for semantic movie analysis, and it contains abu...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Wen G...
CIKM
2009
Springer
14 years 2 months ago
Multivariate classification of urine metabolome profiles for breast cancer diagnosis
Background: Diagnosis techniques using urine are non-invasive, inexpensive, and easy to perform in clinical settings. The metabolites in urine, as the end products of cellular pro...
Younghoon Kim, Imhoi Koo, Byung Hwa Jung, Bong Chu...