Results 11 to 20 of about 3,670,660 (210)
Weightless neural networks for face recognition [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The interface with the real-world has proved to be extremely challenging throughout the past 70 years in which computer technology has been developing.
Khaki, Kazimali M
core +7 more sources
Role of pattern recognition and search in expert decision making [PDF]
, 2004 Recently, proponents of the predominant role of search processes have collected data aiming at undermining the importance of pattern recognition. In particular, Chabris and Hearst (2003), using data from rapid chess and blindfold chess, have questioned ...
Gobet, F
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Rapid face recognition using hashing [PDF]
, 2010 We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua +8 more
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Sparse distributed localized gradient fused features of objects [PDF]
, 2015 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex +2 more
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Incremental and Adaptive Learning for Interactive Machine Translation [PDF]
, 2011 [EN] High-quality translation between any pair of languages can be achieved by human post-editing of the outputs of a MT system or by following the Interactive Machine Translation (IMT) approach. In the interactive pattern recognition framework, IMT can
Toselli, Alejandro Héctor +4 more
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Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition [PDF]
, 2013 Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Azzopardi, George, +6 more
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Feature learning via partial differential equation with applications to face recognition
, 2017 Feature learning is a critical step in pattern recognition, such as image classification. However, most of the existing methods cannot extract features that are discriminative and at the same time invariant under some transforms.
Fang, Cong +7 more
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Informative shape representations for human action recognition
, 2006 Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang +3 more
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Human motion recognition using gaussian processes classification
, 2008 This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang +5 more
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source