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» On the Dimensionality of Face Space
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SEBD
2004
139views Database» more  SEBD 2004»
15 years 7 months ago
A New Histogram-based Technique for Compressing Multi-Dimensional Data
Abstract. The need to compress data into synopses of summarized information often arises in many application scenarios, where the aim is to retrieve aggregate data efficiently, pos...
Filippo Furfaro, Giuseppe M. Mazzeo, Domenico Sacc...
UAI
2000
15 years 7 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore
PAMI
2006
134views more  PAMI 2006»
15 years 6 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
TWC
2008
114views more  TWC 2008»
15 years 6 months ago
Two dimensional cross-layer optimization for packet transmission over fading channel
In this paper a single-input-single-output wireless data transmission system with adaptive modulation and coding over correlated fading channel is considered, where run-time power ...
Xiaofeng Bai, Abdallah Shami
SIAMIS
2011
15 years 1 months ago
Local Image Features Resulting from 3-Dimensional Geometric Features, Illumination, and Movement: II
This is the second part of an investigation into the visual clues in illuminated scenes, in terms of the interactions between apparent contours, shade and cast shadow curves, bound...
James N. Damon, Peter J. Giblin, Gareth Haslinger