Publications associées à Subclass error correcting output codes using fisher's linear discriminant ratio

Strongly feasible stochastic model predictive control

In this article we develop a systematic approach to enforce strong feasibility of probabilistically constrained stochastic model predictive control problems for linear discrete-time systems under affine disturbance feedback policies. Two approaches are pre ...

2011

Optimal-Time Adaptive Strong Renaming, with Applications to Counting

Seth Gilbert, Dan Alistarh, Morteza Zadimoghaddam

We give two new randomized algorithms for tight renaming, both of which work against an adaptive adversary. The first uses repeated sampling over a sequence of arrays of decreasing size to assign unique names to each of

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processes with step complexity $ ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2011

Mutual information measures for subclass error-correcting output codes classification

Nikolaos Arvanitopoulos Darginis

Error-Correcting Output Codes (ECOCs) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is decomposed into several binary ones. Additionally, on the ECOC framework we can a ...

2010

An Information Theoretic Approach to Speaker Diarization of Meeting Recordings

Deepu Vijayasenan

In this thesis we investigate a non parametric approach to speaker diarization for meeting recordings based on an information theoretic framework. The problem is formulated using the Information Bottleneck (IB) principle. Unlike other approaches where the ...

EPFL2010

Optimizing subclass discriminant error correcting output codes using particle swarm optimization

Nikolaos Arvanitopoulos Darginis

Error-Correcting Output Codes (ECOC) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is decomposed into several binary ones. Additionally, on the ECOC framework we can ap ...

2010

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition

Oya Aran

Fisher kernels combine the powers of discriminative and generative classifiers by mapping the variable-length sequences to a new fixed length feature space, called the Fisher score space. The mapping is based on a single generative model and the classifier ...

2010

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Yann Barbotin

Certain aspects of the present disclosure relate to a method for speeding up the Cadzow iterative denoising algorithm as a part of the Finite Rate of Innovation (FRI) processing and for decreasing its computational complexity. ...

USPTO2010

Collision Attacks against the Knudsen-Preneel Compression Functions

Martijn Stam, Onur Özen

Knudsen and Preneel (Asiacrypt'96 and Crypto'97) introduced a hash function design in which a linear error-correcting code is used to build a wide-pipe compression function from underlying blockciphers operating in Davies-Meyer mode. Their main design goal ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Attacking the Knudsen-Preneel Compression Functions

Martijn Stam, Onur Özen

Knudsen and Preneel (Asiacrypt’96 and Crypto’97) introduced a hash function design in which a linear error-correcting code is used to build a wide-pipe compression function from underlying blockciphers operating in Davies-Meyer mode. In this paper, we (re) ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems

Colin Neil Jones

Many model predictive control (MPC) schemes suffer from high computational complexity. Especially robust MPC schemes, which explicitly account for the effects of disturbances, can result in computationally intractable problems. So-called move-blocking is a ...

IEEE2009

Subclass error correcting output codes using fisher's linear discriminant ratio

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Strongly feasible stochastic model predictive control

Optimal-Time Adaptive Strong Renaming, with Applications to Counting

Mutual information measures for subclass error-correcting output codes classification

An Information Theoretic Approach to Speaker Diarization of Meeting Recordings

Optimizing subclass discriminant error correcting output codes using particle swarm optimization

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Collision Attacks against the Knudsen-Preneel Compression Functions

Attacking the Knudsen-Preneel Compression Functions

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems

Optimal-Time Adaptive Strong Renaming, with Applications to Counting

Collision Attacks against the Knudsen-Preneel Compression Functions

Optimizing subclass discriminant error correcting output codes using particle swarm optimization

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Strongly feasible stochastic model predictive control

Mutual information measures for subclass error-correcting output codes classification

An Information Theoretic Approach to Speaker Diarization of Meeting Recordings

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition

Attacking the Knudsen-Preneel Compression Functions

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems