Ensemble perception, including the ability to "see the average" from a group of items, operates in numerous feature domains (size, orientation, speed, facial expression, etc.). Although the ubiquity of ensemble representations is well established, the large-scale cognitive architecture of this process remains poorly defined. We address this using an individual differences approach. In a series ...

1 Duane and Patterson, Proc. Nat. Acad. Sci., Washington, Sept. 1920; Phys. Rev., Dec. 1920, p. 526. 2 Coster, Z. Phys., 5, 1921 (139); also 6, 1921 (185). 3 De Broglie and Dauvillier, Paris, C. R., 173, p. 137. Dauvillier, Ibid., 172, also 173, p. 647, also other papers in this volume. 4 Smfkal, Z. Phys., 5, 1921 (91, 121). Also 4, 1921. 5Wentzel, Ibid., 6, 1921 (2). Coster, Ibid., 5, 1921 (14...

the article suggests an algorithm for regular classifier ensemble methodology. the proposed methodology is based on possibilistic aggregation to classify samples. the argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. the optimization aims at learning backgrounds as solid clusters in subspaces of the high-dim...

In this paper we introduce an ensemble method for convolutional neural network (CNN), called “virtual branching,” which can be implemented with nearly no additional parameters and computation on top of standard CNNs. We propose our method in the context of person re-identification (re-ID). Our CNN model consists of shared bottom layers, followed by “virtual” branches, where neurons from a block...

Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...

New machine learning strategies are proposed for person identification which can be used in several biometric modalities such as friction ridges, handwriting, signatures and speech. The biometric or forensic performance task answers the question of whether or not a sample belongs to a known person. Two different learning paradigms are discussed: person-independent (or general learning) and pers...

Linear Blur Motion is one of the most common degradation functions that corrupt images. Since 1976 many researchers have tried to estimate blur motion parameters and this problem can be solved for noise free images but in the case of noisy images this can be done when the image SNR is low. In this paper, we consider pattern recognition with ensemble neural networks for the case of fingerprints;...