• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 529
Next 10 →

Linear spatial pyramid matching using sparse coding for image classification

by Jianchao Yang, Kai Yu, Yihong Gong, Thomas Huang - in IEEE Conference on Computer Vision and Pattern Recognition(CVPR , 2009
"... Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n 2 ∼ n 3) in training and O(n) in testing, where n is the training size, implying that it is nontrivial to scaleup the algo ..."
Abstract - Cited by 497 (21 self) - Add to MetaCart
the algorithms to handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing vector quantization to sparse coding followed by multi-scale spatial max pooling, and propose a linear SPM kernel based on SIFT sparse codes. This new approach remarkably

Locality-constrained linear coding for image classification

by Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas Huang, Yihong Gong - IN: IEEE CONFERENCE ON COMPUTER VISION AND PATTERN CLASSIFICATOIN , 2010
"... The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effective coding scheme called Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC util ..."
Abstract - Cited by 443 (20 self) - Add to MetaCart
The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effective coding scheme called Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC

Valid conjunction inference with the minimum statistic. NeuroImage 25, 653–660

by Thomas Nichols, Matthew Brett, Jesper Andersson, Tor Wager, Jean-baptiste Poline , 2005
"... In logic a conjunction is defined as an AND between truth statements. In neuroimaging, investigators may look for brain areas activated by task A AND by task B, or a conjunction of tasks (Price & Friston, 1997). Friston et al. (1999b) introduced a minimum statistic test for conjunction. We refer ..."
Abstract - Cited by 256 (4 self) - Add to MetaCart
refer to this method as the minimum statistic compared to the global null (MS/GN). The MS/GN is implemented in SPM2 and SPM99 software, and has been widely used as a test of conjunction. However, we assert that it does not have the correct null hypothesis for a test of logical AND, and further, this has

1.3 SPM CHANGE METHOD

by Spm- Rev , 2011
"... ..."
Abstract - Add to MetaCart
Abstract not found

1.3 SPM CHANGE METHOD 1.4 CONFIGURATION AND CONTROL OF THE SPM

by Spm- Rev B , 2011
"... ..."
Abstract - Add to MetaCart
Abstract not found

SPM for Functional Identification of Individual Biomolecules

by Robert Rosa, Falk Schwesingerb, Celestino Padestea, Andreas Plückthunb, Dario Anselmettic, Hans-joachim Güntherodtd, Louis Tiefenauera
"... The identification of specific binding molecules is of increasing interest in the context of drug development based on combinatorial libraries. Scanning Probe Microscopy (SPM) is the method of choice to image and probe individual biomolecules on a surface. Functional identification of biomolecules i ..."
Abstract - Add to MetaCart
The identification of specific binding molecules is of increasing interest in the context of drug development based on combinatorial libraries. Scanning Probe Microscopy (SPM) is the method of choice to image and probe individual biomolecules on a surface. Functional identification of biomolecules

Dementia: An SPM Analysis of 29 Patients

by unknown authors
"... Frontotemporal dementia (FTD) is a common cause of presenile dementia. The aim of the current study was 2-fold: (a) to delin-eate the brain regions with reduction of glucose metabolism, and (b) to investigate the hemispheric asymmetry of glucose metabolism in FTD using 18F-FDG PET. Methods: We com-p ..."
Abstract - Add to MetaCart
Frontotemporal dementia (FTD) is a common cause of presenile dementia. The aim of the current study was 2-fold: (a) to delin-eate the brain regions with reduction of glucose metabolism, and (b) to investigate the hemispheric asymmetry of glucose metabolism in FTD using 18F-FDG PET. Methods: We com

SPM5 Manual The FIL Methods Group

by John Ashburner, Guillaume Flandin, Rik Henson, Stefan Kiebel, James Kilner, Jeremie Mattout, Will Penny, Klaas Stephan, Darren Gitelman, Chloe Hutton , 2009
"... ..."
Abstract - Add to MetaCart
Abstract not found

unknown title

by Katell Mevel Phd, Béatrice Desgranges, Brigitte Landeau, Francis Eustache, Chételat Phd, Inserm Ephe, Unité U, Gip Cyceron
"... 1 Which SPM method should be used to extract hippocampal measures in early Alzheimer’s disease? ..."
Abstract - Add to MetaCart
1 Which SPM method should be used to extract hippocampal measures in early Alzheimer’s disease?

SPM Conscious Loop Scheduling for Embedded Chip Multiprocessors ∗

by Liping Xue, Mahmut K, Guangyu Chen, Taylan Yemliha
"... One of the major factors that can potentially slow down widespread use of embedded chip multiprocessors is lack of efficient software support. In particular, automated code parallelizers are badly needed since it is not realistic to expect an average programmer to parallelize a large complex embedde ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
embedded application over multiple processors, taking into account several factors at the same time such as code density, data locality, performance, power and code resilience. Especially, increasing use of software-managed SPM (scratch-pad memory) components in embedded systems require an SPM conscious
Next 10 →
Results 1 - 10 of 529
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University