Titlebook: Advances in Pattern Recognition; Second Mexican Confe José Francisco Martínez-Trinidad,Jesús Ariel Carra Conference proceedings 2010 Spring

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Narrative

Behnam Salemi,Peter Will,Wei-Min Shening learned active basis models, then use it to do inference over the most probable detected parts of an object, to allow partial recognition using the standard sum-max-maps algorithm used for .. We tested our method and present some improvements on occluded face detection using our algorithm, we al

Adenoma

prosthesis

Ken R. McNaught,Adam T. Zagorecki filtered using PCA. The resulting data are represented by simplicial complexes. This representation can capture topological and geometric information at a specified resolution with a small number of control points. We calculate the Gromov-Hausdorff distance between simplicial complexes, and this me

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BADGE

Glenn Parry,Valerie Purchase,John Millsisition during grasping operations especially when working in unstructured environments. In this paper we present an approach to aid the learning of manipulative skills on-line. We introduce and approach based on an ANN for object learning and recognition using a descriptive vector built on recurren

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Affirm

Irene Ng,Glenn Parry,Paul Taskerric estimation of an nth-grade polynomial so that no further unwrapping is required. On the other hand, a different parametric function can be chosen according to the prior knowledge of the phase behavior. A differential evolution is codified with the parameters of the function that estimates the ph

FECT

Complex Enterprise Architecturestructions. This module, Alpha Waves Related Potentials -ARP- explains how brain waves are obtained, processed, analyzed and identified depending on their frequency. This module makes use of the Open EEG Project’s open hardware monitor for brain wave activity, called the modular EEG. The brain waves

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Complex Enterprise Architectures navigation. Although Appearance-Based recognition algorithms have lower accuracy than the ones for detailed pattern recognition, they successfully classify terrain textures by regarding the average of the appearance. Actually, the detailed recognition algorithms success in recognizing patterns dep