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ICASSP
2008
IEEE
15 years 9 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
ICASSP
2008
IEEE
15 years 9 months ago
Model-based sparsity projection pursuit for lattice vector quantization
In this work we present an efficient coding scheme suitable for lossy image compression using a lattice vector quantizer (LVQ) based on statistically independent data projections...
Leonardo H. Fonteles, Marc Antonini, Ronald Phlypo
ICASSP
2008
IEEE
15 years 9 months ago
Variance reduction with neighborhood smoothing for local intrinsic dimension estimation
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
Kevin M. Carter, Alfred O. Hero
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
15 years 9 months ago
On the biased estimation of nonlocal means filter
The recent Nonlocal Means filter (NLM) exhibits exciting performance for image or video denoising. However, the estimation of NLM is biased and tends to keep the value of noise. I...
Hao Xu, Jizheng Xu, Feng Wu
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
15 years 9 months ago
Target-directed attention: Sequential decision-making for gaze planning
— It is widely agreed that efficient visual search requires the integration of target-driven top-down information and image-driven bottom-up information. Yet the problem of gaze...
Julia Vogel, Nando de Freitas
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