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Learning Compact Face Representation: Packing a Face into an int32
face recognition face search deep learning
2016/1/22
This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face rep-resentation is achie...
A theory of concepts and their combinations II: A Hilbert space representation
concept combination conjunction context entanglement exemplar Hilbert space mathematical model prototype potentiality quantum representation state structure
2015/8/3
The sets of contexts and properties of a concept are embedded in the complex Hilbert space of quantum mechanics. States are unit vectors or density operators, and contexts and properties are orthogona...
Indoor Navigation System for the Visually Impaired with User-centric Graph Representation and Vision Detection Assistance
Indoor Navigation System Visually Impaired User-centric Graph Representation Vision Detection Assistance
2014/12/8
Independent navigation through unfamiliar indoor spaces is beset with barriers for the visually impaired. Hence, this issue impairs their independence, self-respect and self-reliance. In this thesis I...
This report presents a unified treatment of the density of states for the knots and folds of polymer chains. The physical realization of such systems ranges from DNA molecules to the microscopic confi...
An Information Theoretic Representation of Agent Dynamics as Set Intersections
Universal Artificial Intelligence AIXI Model Kolmogorov Complexity Algorithmic Information Theory
2011/8/25
Abstract: We represent agents as sets of strings. Each string encodes a potential interaction with another agent or environment. We represent the total set of dynamics between two agents as the inters...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence A Novel Non-Statistical Model Face Representation Recognition
2013/7/23
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.
Nevertheless, these approaches are alway...
