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Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 141 to 150 of 200:
3D shape recovery of smooth surfaces: dropping the fixed-viewpoint assumption.
29 Jun 2009 
We present a new method for recovering the 3D shape of a featureless smooth surface from three or more calibrated images illuminated by different light sources (three of them are independent). This method is unique in its ability to handle images ...
rec_pub_19443927-3d-shape-recovery-smooth-surfaces-dropping-fixed-viewpoint-assumption.htm
Supervised learning of quantizer codebooks by information loss minimization.
29 Jun 2009 This paper proposes a technique for jointly quantizing continuous features and the posterior distributions of their class labels based on minimizing empirical information loss such that the quantizer index of a given feature vector approximates a ...
rec_pub_19443926-supervised-learning-quantizer-codebooks-information-loss-minimization.htm
A novel algorithm for detecting singular points from fingerprint images.
29 Jun 2009 Fingerprint analysis is typically based on the location and pattern of detected singular points in the images. These singular points (cores and deltas) not only represent the characteristics of local ridge patterns but also determine the topological ...
rec_pub_19443922-a-novel-algorithm-detecting-singular-points-fingerprint-images.htm
Preprocessing of low-quality handwritten documents using Markov random fields.
29 Jun 2009 This paper presents a statistical approach to the preprocessing of degraded handwritten forms including the steps of binarization and form line removal. The degraded image is modeled by a Markov Random Field (MRF) where the hidden-layer prior ...
rec_pub_19443918-preprocessing-low-quality-handwritten-documents-using-markov-random.htm
Generalized risk zone: selecting observations for classification.
29 Jun 2009 In this paper, we extend the risk zone concept by creating the Generalized Risk Zone. The Generalized Risk Zone is a model-independent scheme to select key observations in a sample set. The observations belonging to the Generalized Risk Zone have ...
rec_pub_19443929-generalized-risk-zone-selecting-observations-classification.htm
A new distance measure for model-based sequence clustering.
29 Jun 2009 We review the existing alternatives for defining model-based distances for clustering sequences and propose a new one based on the Kullback-Leibler divergence. This distance is shown to be especially useful in combination with spectral clustering. ...
rec_pub_19443928-a-new-distance-measure-model-based-sequence-clustering.htm
A stochastic filtering technique for fluid flow velocity fields tracking.
29 Jun 2009 In this paper, we present a method for the temporal tracking of fluid flow velocity fields. The technique we propose is formalized within a sequential Bayesian filtering framework. The filtering model combines an Itô diffusion process coming from a ...
rec_pub_19443925-a-stochastic-filtering-technique-fluid-flow-velocity-fields-tracking.htm
Sign language spotting with a threshold model based on conditional random fields.
29 Jun 2009 Sign language spotting is the task of detecting and recognizing signs in a signed utterance, in a set vocabulary. The difficulty of sign language spotting is that instances of signs vary in both motion and appearance. Moreover, signs appear within a ...
rec_pub_19443924-sign-language-spotting-threshold-model-based-conditional-random-fields.htm
An O(N(2)) square root unscented Kalman Filter for visual simultaneous localization and mapping.
29 Jun 2009 This paper develops a Square Root Unscented Kalman Filter (SRUKF) for performing video-rate visual simultaneous localization and mapping (SLAM) using a single camera. The conventional UKF has been proposed previously for SLAM, improving the handling ...
rec_pub_19443923-an-o-n-2-square-root-unscented-kalman-filter-visual-simultaneous.htm
Minimum distance between pattern transformation manifolds: algorithm and applications.
29 Jun 2009 Transformation invariance is an important property in pattern recognition, where different observations of the same object typically receive the same label. This paper focuses on a transformation-invariant distance measure that represents the ...
rec_pub_19443921-minimum-distance-pattern-transformation-manifolds-algorithm.htm
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