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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 9 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
CIC
2004
13 years 9 months ago
On the Analysis of Packet-Train Probing Schemes
With a better understanding of how probe packets and cross-traffic packets interact with each other, more accurate measurement methods based on active probing can be developed. Sev...
Andreas Johnsson, Bob Melander, Mats Björkman
CSREASAM
2006
13 years 9 months ago
A New Robust and Secure Steganographic System for Greyscale Images
: The research work in this paper shows that the currently available stenographic methods might be quite easily detected by using sufficiently careful analysis of the transmitted d...
Hesham Elzouka
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
13 years 9 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
NIPS
2004
13 years 9 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...