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ICML
2010
IEEE
13 years 12 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
CCS
2010
ACM
13 years 11 months ago
TASTY: tool for automating secure two-party computations
Secure two-party computation allows two untrusting parties to jointly compute an arbitrary function on their respective private inputs while revealing no information beyond the ou...
Wilko Henecka, Stefan Kögl, Ahmad-Reza Sadegh...
MOBISYS
2010
ACM
14 years 1 months ago
MAUI: making smartphones last longer with code offload
This paper presents MAUI, a system that enables fine-grained energy-aware offload of mobile code to the infrastructure. Previous approaches to these problems either relied heavily...
Eduardo Cuervo, Aruna Balasubramanian, Dae-ki Cho,...
IJCV
2008
192views more  IJCV 2008»
13 years 11 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
PR
2008
161views more  PR 2008»
13 years 10 months ago
A study on three linear discriminant analysis based methods in small sample size problem
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
Jun Liu, Songcan Chen, Xiaoyang Tan