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» Coevolution of pattern generators and recognizers
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NIPS
1997
14 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
89
Voted
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 1 months ago
Mining asynchronous periodic patterns in time series data
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Jiong Yang, Wei Wang 0010, Philip S. Yu
ECCV
2004
Springer
15 years 2 months ago
Hand Pose Estimation Using Hierarchical Detection
This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
LWA
2004
14 years 10 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
ISCAS
2008
IEEE
120views Hardware» more  ISCAS 2008»
15 years 3 months ago
A baseball exploration system using spatial pattern recognition
— Despite a lot of research efforts in baseball video processing, little work has been done in analyzing the detailed process and ball movement of the batting content. This paper...
Hua-Tsiing Chen, Ming-Ho Hsiao, Hsuan-Sheng Chen, ...