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» Learning Nonlinear Manifolds from Time Series
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PAMI
2012
13 years 2 days ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
FUZZIEEE
2007
IEEE
15 years 4 months ago
An On-Line Fuzzy Predictor from Real-Time Data
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
Chih-Ching Hsiao, Shun-Feng Su
JCNS
2002
42views more  JCNS 2002»
14 years 9 months ago
A Unified Mechanism for Spontaneous-Rate and First-Spike Timing in the Auditory Nerve
Recent physiological experiments have provided detailed descriptions of the properties of first-spike latency and variability in auditory cortex and nerve in response to pure tones...
B. Suresh Krishna
ICANN
2010
Springer
14 years 10 months ago
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
JCP
2007
100views more  JCP 2007»
14 years 9 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...