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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
- IN ICML’09
, 2009
"... ..."
Learning Hierarchical Representations and Behaviors
"... Learning to perform via reinforcement typically requires extensive search through an intractably large space of possible behaviors. In the brain, reinforcement learning is hypothesized to be carried out in large measure by the basal ganglia / striatal complex (Schultz 2000; Granger 2005), a phylogen ..."
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of these systems have led to hypotheses that the cortex is learning to construct large hierarchical representations of perceptions and actions, and that these are used to substantially constrain and direct search (Granger 2006) that would otherwise be blindly pursued
Hierarchical Representation of Discrete Data on Graphs
"... Abstract. We propose a new hierarchical representation of discrete data sets living on graphs. The approach takes advantage of recent works on graph regularization. The role of the merging criterion that is common to hierarchical representations is greatly reduced due to the regularization step. The ..."
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Abstract. We propose a new hierarchical representation of discrete data sets living on graphs. The approach takes advantage of recent works on graph regularization. The role of the merging criterion that is common to hierarchical representations is greatly reduced due to the regularization step
Constructing Hierarchical Representations of Indoor Spaces
"... Indoor spaces pose many challenges for spatial information systems, amongst them appropriate spatial communication. Compared to typical outdoor spaces, indoor spaces are clustered, have a fragmented social structure, and diverse groups use the space in different ways, which results in different conc ..."
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Cited by 2 (1 self)
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conceptualizations and communication needs. This paper presents a hierarchical representation of indoor spaces that accounts for different use roles. The hierarchization exploits structural, functional and organizational dimensions and allows for communicating different aspects of the space in a way tailored
Behavioral and neural constraints on hierarchical representations
"... $ Central to behavior and cognition is the way that sensory stimuli are represented in neural systems. The distributions over such stimuli enjoy rich structure; however, how the brain captures and exploits these regularities is unclear. Here, we consider different sources of perhaps the most preval ..."
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prevalent form of structure, namely hierarchies, in one of its most prevalent cases, namely the representation of images. We review experimental approaches across a range of subfields, spanning inference, memory recall, and visual adaptation, to investigate how these constrain hierarchical representations
Hierarchical representations of collections of small rectangles
- ACM Computing Surveys
, 1988
"... A tutorial survey is presented of hierarchical data structures for representing collections of small rectangles. Rectangles are often used as an approximation of shapes for which they serve as the minimum rectilinear enclosing object. They arise in applications in cartography as well as very large-s ..."
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Cited by 26 (1 self)
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A tutorial survey is presented of hierarchical data structures for representing collections of small rectangles. Rectangles are often used as an approximation of shapes for which they serve as the minimum rectilinear enclosing object. They arise in applications in cartography as well as very large
Hierarchical Dirichlet processes.
- Journal of the American Statistical Association,
, 2006
"... We consider problems involving groups of data where each observation within a group is a draw from a mixture model and where it is desirable to share mixture components between groups. We assume that the number of mixture components is unknown a priori and is to be inferred from the data. In this s ..."
Abstract
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Cited by 942 (78 self)
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in the different groups necessarily share mixture components. We discuss representations of hierarchical Dirichlet processes in terms of a stick-breaking process, and a generalization of the Chinese restaurant process that we refer to as the "Chinese restaurant franchise." We present Markov chain Monte
OBB-Tree: A hierarchical structure for rapid interference detection
- PROC. ACM SIGGRAPH, 171–180
, 1996
"... We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing rigid motion. The algorithm is applicable to all general polygonal and curved models. It pre-computes a hierarchical representation of models using tight-fitting oriented bo ..."
Abstract
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Cited by 845 (53 self)
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We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing rigid motion. The algorithm is applicable to all general polygonal and curved models. It pre-computes a hierarchical representation of models using tight-fitting oriented
Hierarchical model-based motion estimation
, 1992
"... This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) a,re a global model that constrains the overall structure of the motion estimated, a local rnodel that ..."
Abstract
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Cited by 664 (15 self)
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This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) a,re a global model that constrains the overall structure of the motion estimated, a local rnodel
The quadtree and related hierarchical data structures
- ACM Computing Surveys
, 1984
"... A tutorial survey is presented of the quadtree and related hierarchical data structures. They are based on the principle of recursive decomposition. The emphasis is on the representation of data used in applications in image processing, computer graphics, geographic information systems, and robotics ..."
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Cited by 541 (12 self)
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A tutorial survey is presented of the quadtree and related hierarchical data structures. They are based on the principle of recursive decomposition. The emphasis is on the representation of data used in applications in image processing, computer graphics, geographic information systems
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