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» On the Learnability of Vector Spaces
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VLDB
1994
ACM
134views Database» more  VLDB 1994»
14 years 2 months ago
V-Trees - A Storage Method for Long Vector Data
This paper introduces a new data structure, called V-trees, designed to store long sequences of points in 2D space and yet allow efficient access to their fragments. They also opt...
Maurício R. Mediano, Marco A. Casanova, Mar...
ICIP
2003
IEEE
15 years 13 days ago
Morphological hat-transform scale spaces and their use in texture classification
In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two ...
Andrei Jalba, Jos B. T. M. Roerdink, Michael H. F....
ECIR
2006
Springer
14 years 7 days ago
Beyond the Web: Retrieval in Social Information Spaces
We research whether the inclusion of information about an information user's social environment and his position in the social network of his peers leads to an improval in sea...
Sebastian Marius Kirsch, Melanie Gnasa, Armin B. C...
CACM
2010
104views more  CACM 2010»
13 years 11 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
CORR
2007
Springer
146views Education» more  CORR 2007»
13 years 10 months ago
Coding for Errors and Erasures in Random Network Coding
Abstract—The problem of error-control in random linear network coding is considered. A “noncoherent” or “channel oblivious” model is assumed where neither transmitter nor...
Ralf Koetter, Frank R. Kschischang