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ISNN
2007
Springer
15 years 6 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
SAC
2006
ACM
15 years 5 months ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
78
Voted
HICSS
2002
IEEE
84views Biometrics» more  HICSS 2002»
15 years 4 months ago
Examining Criticality of Blackouts in Power System Models with Cascading Events
As power system loading increases, larger blackouts due to cascading outages become more likely. We investigate a critical loading at which the average size of blackouts increases...
Ian Dobson, Jie Chen, Jim Thorp, Benjamin A. Carre...
CVIU
2010
150views more  CVIU 2010»
14 years 10 months ago
Wireless smart camera network for real-time human 3D pose reconstruction
A multiple-camera system for 3D pose reconstruction is presented. First, body parts of the user are detected. Each camera has a single-instruction multiple-data (SIMD) processor u...
Zoran Zivkovic
ISAMI
2010
14 years 9 months ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho