1227 search results - page 120 / 246 » Learning Rates for Q-Learning |
150
Voted
IJON
2007
15 years 3 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
152
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NN
2002
Springer
15 years 3 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
135
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CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
136
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ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
123
Voted
ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...