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Investigating Neural Representations:The Tale of Place Cells
mechanistic explanations representations spatial navigation place cells grid cells
2016/6/12
While neuroscientists often characterize brain activity as representational, many philosophers have construed these accounts as just theorists’ glosses on the mechanism. Moreover, philosophical discus...
Optimal Representations of Polymorphic Types with Subtyping (Extended Abstract)
Optimal Representations Polymorphic Types Subtyping (Extended Abstract)
2016/5/24
Many type inference and program analysis systems include notions of subtyping and parametric polymorphism. When used together, these two features induce equivalences that allow types to be simpli ed b...
Many type inference and program analysis systems include notions of subtyping and parametric polymorphism. When used together, these two features induce equivalences that allow types to be simpli ed b...
SIMILARITY AMONG MULTIPLE GEOGRAPHIC REPRESENTATIONS
Multiple Representation Information Integration Dataset ambiguity
2016/2/29
A key ingredient of systems aiming to cope with multiple representations of geographic features is some method for assessing the
correspondence and similarity of such representations. In other words,...
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
Learning viewpoint invariant perceptual representations from cluttered images
Computational models of vision Neural Nets invariance object recognition
2015/7/31
In order to perform object recognition, it is necessary to form perceptual representations that are sufficiently specific to distinguish between objects, but that are also sufficiently flexible to gen...
Behaviourally meaningful representations from normalisation and context-guided denoising
Behaviourally meaningful representations normalisation context-guided denoising
2015/7/30
Many existing independent component analysis algorithms include a preprocessing stage where the inputs are sphered. This amounts to normalising the data such that all correlations between the variable...
Accurate and robust image superresolution by neural processing of local image representations
superresolution neural networks image sequence processing
2015/7/29
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require iterative minimization ...
Multiple Representations In Dbms: Two Algorithms
Databases Generalization Framework Data structures
2015/7/6
Spatial data sets are created to provide information for specific applications. These sets are representations of real world objects and
are each collected by specific organisations for specific purp...
Graphics and Language as Complementary Formal Representations for Geospatial Descriptions
Abstraction Spatial Analysis Knowledge Representation
2015/7/6
In image understanding, the importance of language (e.g. the choice of class names in image analysis) has been widely
underestimated up to now. Within this paper, the close interaction between langua...
TORSION IN THE COHOMOLOGY OF CONGRUENCE SUBGROUPS OF SL(4, Z) AND GALOIS REPRESENTATIONS
Reverse calculation congruence subgroup the group of cohomology homologous yields Galois calculating torsional prime
2014/12/24
We report on the computation of torsion in certain homology the-ories of congruence subgroups of SL(4, Z). Among these are the usual group cohomology, the Tate-Farrell cohomology, and the homology of ...
Leveraging Relational Representations for Causal Discovery
causality relational learning social network analysis
2014/12/18
This thesis represents a synthesis of relational learning and causal discovery, two subjects at the frontier of machine learning research. Relational learning investigates algorithms for constructing ...
Recovering Non-negative and Combined Sparse Representations
underdetermined linear system sparse representations non-negative constraints orthogonal matching pursuit unique sparse solution
2013/5/2
The non-negative solution to an underdetermined linear system can be uniquely recovered sometimes, even without imposing any additional sparsity constraints. In this paper, we derive conditions under ...
Integral representations and properties of operator fractional Brownian motions
dichotomy principle integral representations long-range dependence multivariate Brownian motion operator fractional Brownian motion operator self-similarity
2011/3/18
Operator fractional Brownian motions (OFBMs) are (i) Gaussian, (ii) operator self-similar and (iii) stationary increment processes. They are the natural multivariate generalizations of the well-studie...
THE IMPLICATIONS OF THE WTO NEGOTIATIONS ON THE CANADIAN CHICKEN MARKET: TWO REPRESENTATIONS OF CHICKEN AND STOCHASTIC WORLD PRICES
THE IMPLICATIONS THE WTO NEGOTIATIONS THE CANADIAN CHICKEN MARKET: TWO REPRESENTATIONS CHICKEN AND STOCHASTIC WORLD PRICES
2014/4/11
Current Doha Development Agenda (DDA) World Trade Organisation negotiations include proposals that would affect the trade barriers that protect Canada’s chicken producers from foreign competition. Th...