Results 1 - 10 of 31,712

Object, space and object-space representations in the primate hippocampus

by Edmund T. Rolls, Jianzhong Xiang, Leonardo Franco - Journal of Neurophysiology , 2005
"... space, and object-space representations in the primate hippocampus. J ..."
Abstract - Cited by 18 (6 self) - Add to MetaCart
space, and object-space representations in the primate hippocampus. J

Probabilistic Visual Learning for Object Representation

by Baback Moghaddam, Alex Pentland , 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract - Cited by 699 (15 self) - Add to MetaCart
We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture

Querying object-oriented databases

by Michael Kifer, Won Kim, Yehoshua Sagiv - ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA , 1992
"... We present a novel language for querying object-oriented databases. The language is built around the idea of extended path expressions that substantially generalize [ZAN83], and on an adaptation of the first-order formalization of object-oriented languages from [KW89, KLW90, KW92]. The language inco ..."
Abstract - Cited by 492 (6 self) - Add to MetaCart
We present a novel language for querying object-oriented databases. The language is built around the idea of extended path expressions that substantially generalize [ZAN83], and on an adaptation of the first-order formalization of object-oriented languages from [KW89, KLW90, KW92]. The language

Scale-Space Theory in Computer Vision

by Tony Lindeberg , 1994
"... A basic problem when deriving information from measured data, such as images, originates from the fact that objects in the world, and hence image structures, exist as meaningful entities only over certain ranges of scale. "Scale-Space Theory in Computer Vision" describes a formal theory fo ..."
Abstract - Cited by 625 (21 self) - Add to MetaCart
A basic problem when deriving information from measured data, such as images, originates from the fact that objects in the world, and hence image structures, exist as meaningful entities only over certain ranges of scale. "Scale-Space Theory in Computer Vision" describes a formal theory

Object Recognition from Local Scale-Invariant Features

by David G. Lowe
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
Abstract - Cited by 2739 (13 self) - Add to MetaCart
in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients

M-tree: An Efficient Access Method for Similarity Search in Metric Spaces

by Paolo Ciaccia, Marco Patella, Pavel Zezula , 1997
"... A new access meth d, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. whE4 object proximity is only defined by a distance function satisfyingth positivity, symmetry, and triangle inequality postulates. We detail algorith[ for insertion o ..."
Abstract - Cited by 663 (38 self) - Add to MetaCart
A new access meth d, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. whE4 object proximity is only defined by a distance function satisfyingth positivity, symmetry, and triangle inequality postulates. We detail algorith[ for insertion

Pastry: Scalable, decentralized object location and routing for large-scale peer-to-peer systems

by Antony Rowstron , Peter Druschel - IN PROC. OF THE 18TH IFIP/ACM INTERNATIONAL CONFERENCE ON DISTRIBUTED SYSTEMS PLATFORMS, , 2001
"... This paper presents the design and evaluation of Pastry, a scalable, distributed object location and routing substrate for wide-area peer-to-peer applications. Pastry performs application-level routing and object location in a potentially very large overlay network of nodes connected via the Intern ..."
Abstract - Cited by 1932 (1 self) - Add to MetaCart
This paper presents the design and evaluation of Pastry, a scalable, distributed object location and routing substrate for wide-area peer-to-peer applications. Pastry performs application-level routing and object location in a potentially very large overlay network of nodes connected via

Three-dimensional object recognition from single two-dimensional images

by David G. Lowe - Artificial Intelligence , 1987
"... A computer vision system has been implemented that can recognize threedimensional objects from unknown viewpoints in single gray-scale images. Unlike most other approaches, the recognition is accomplished without any attempt to reconstruct depth information bottom-up from the visual input. Instead, ..."
Abstract - Cited by 484 (7 self) - Add to MetaCart
A computer vision system has been implemented that can recognize threedimensional objects from unknown viewpoints in single gray-scale images. Unlike most other approaches, the recognition is accomplished without any attempt to reconstruct depth information bottom-up from the visual input. Instead

Object space silhouette algorithims

by Ashley Hartner, Mark Hartner - In Theory and Practice of Non-Photorealistic Graphics: Algorithms, Methods, and Production System SIGGRAPH 2003 Course Notes, 2003. Draft Draft
"... In computer graphics, silhouette extraction and rendering has a critical role in a growing number of applications. This paper examines five object space silhouette extraction algorithms for polygonal models. The algorithms are applied to a variety of models and compared in terms of code complexity a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
In computer graphics, silhouette extraction and rendering has a critical role in a growing number of applications. This paper examines five object space silhouette extraction algorithms for polygonal models. The algorithms are applied to a variety of models and compared in terms of code complexity

Object-Space Variance Estimators

by John Amanatides - In: Proceedings of the Seventh Western Computer Graphics Symposium , 1996
"... This paper describes an exploration of anti-aliasing techniques for ray tracing that glean variance information from object space rather than relying on samples to detect regions of aliasing. Introduction One of the biggest problems with ray tracing is that it is inherently a point-sampling proce ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
This paper describes an exploration of anti-aliasing techniques for ray tracing that glean variance information from object space rather than relying on samples to detect regions of aliasing. Introduction One of the biggest problems with ray tracing is that it is inherently a point
Results 1 - 10 of 31,712