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ICASSP
2011
IEEE
14 years 1 months ago
Online performance guarantees for sparse recovery
A K∗ -sparse vector x∗ ∈ RN produces measurements via linear dimensionality reduction as u = Φx∗ + n, where Φ ∈ RM×N (M < N), and n ∈ RM consists of independent ...
Raja Giryes, Volkan Cevher
ICANN
2003
Springer
15 years 2 months ago
Supervised Locally Linear Embedding
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti ...
ATVA
2009
Springer
137views Hardware» more  ATVA 2009»
15 years 4 months ago
State Space Reduction of Linear Processes Using Control Flow Reconstruction
Abstract. We present a new method for fighting the state space explosion of process algebraic specifications, by performing static analysis on an intermediate format: linear proc...
Jaco van de Pol, Mark Timmer
ICASSP
2008
IEEE
15 years 4 months ago
Temporal masking for bit-rate reduction in audio codec based on Frequency Domain Linear Prediction
Audio coding based on Frequency Domain Linear Prediction (FDLP) uses auto-regressive model to approximate Hilbert envelopes in frequency sub-bands for relatively long temporal seg...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...
IWANN
2007
Springer
15 years 3 months ago
Advantages of Using Feature Selection Techniques on Steganalysis Schemes
Abstract. Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features with two m...
Yoan Miche, Patrick Bas, Amaury Lendasse, Christia...