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» A competitive neural model of small number detection
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CVIU
2004
125views more  CVIU 2004»
13 years 7 months ago
Efficient detection under varying illumination conditions and image plane rotations
This paper focuses on the detection of objects with a Lambertian surface under varying illumination and pose. We offer to apply a novel detection method that proceeds by modeling ...
Margarita Osadchy, Daniel Keren
ESA
2005
Springer
113views Algorithms» more  ESA 2005»
14 years 27 days ago
Online Bin Packing with Cardinality Constraints
We consider a one dimensional storage system where each container can store a bounded amount of capacity as well as a bounded number of items k ≥ 2. This defines the (standard)...
Leah Epstein
ICANN
2003
Springer
14 years 17 days ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
BMCBI
2006
94views more  BMCBI 2006»
13 years 7 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu