Results 161 to 170 of about 302,463 (187)

Image Segmentation by Unsupervised Sparse Clustering

2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the contrary to spectral clustering methods using eigenvectors, the proposed method tries to find an additive combination of positive components from an originally positive data ...
Jeon, BK, Jung, YB, Hong, KS
openaire   +2 more sources

Image Signature: Highlighting Sparse Salient Regions

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
We introduce a simple image descriptor referred to as the image signature. We show, within the theoretical framework of sparse signal mixing, that this quantity spatially approximates the foreground of an image. We experimentally investigate whether this approximate foreground overlaps with visually conspicuous image locations by developing a saliency ...
Hou, Xiaodi, Harel, Jonathan, Koch, Christof   +2 more
openaire   +3 more sources

Convolutional Sparse Autoencoders for Image Classification

IEEE Transactions on Neural Networks and Learning Systems, 2017
Convolutional sparse coding (CSC) can model local connections between image content and reduce the code redundancy when compared with patch-based sparse coding. However, CSC needs a complicated optimization procedure to infer the codes (i.e., feature maps).
Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang   +4 more
openaire   +2 more sources

SPARSE TEMPLATE-BASED VARIATIONAL IMAGE SEGMENTATION

Advances in Adaptive Data Analysis, 2011
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves robustness by tolerating overlapping templates with a regularizer enforcing sparsity. A suitable convex relaxation leads to the variational approach that is amenable to large-
Breitenreicher, Dirk, Lellmann, Jan, Schnörr, Christoph   +2 more
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The Problem of Sparse Image Coding

Journal of Mathematical Imaging and Vision, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Sparse Medical Image Analysis

2023
openaire   +1 more source

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly