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

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 660
Next 10 →

An extensive empirical study of feature selection metrics for text classification

by George Forman, Isabelle Guyon, André Elisseeff - J. of Machine Learning Research , 2003
"... Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and personalization. In text domains, effective feature selection is essential to make the learning task efficient and more accurate. This paper presents an empirical comparison ..."
Abstract - Cited by 496 (15 self) - Add to MetaCart
Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and personalization. In text domains, effective feature selection is essential to make the learning task efficient and more accurate. This paper presents an empirical comparison

Support vector machine learning for interdependent and structured output spaces

by Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun - In ICML , 2004
"... Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input representations. This paper addresses the complementary issue of problems involving complex outputs suchas multiple depe ..."
Abstract - Cited by 450 (20 self) - Add to MetaCart
dependent output variables and structured output spaces. We propose to generalize multiclass Support Vector Machine learning in a formulation that involves features extracted jointly from inputs and outputs. The resulting optimization problem is solved efficiently by a cutting plane algorithm that exploits

Efficient PSD Constrained Asymmetric Metric Learning for Person Re-identification

by Shengcai Liao, Stan Z. Li
"... Person re-identification is becoming a hot research topic due to its value in both machine learning research and video surveillance applications. For this challenging problem, distance metric learning is shown to be effective in match-ing person images. However, existing approaches either re-quire a ..."
Abstract - Add to MetaCart
-ations. The proposed algorithm termed MLAPG is shown to be computationally efficient and able to perform low rank selection. We applied the proposed method for person re-identification, achieving state-of-the-art performance on four challenging databases (VIPeR, QMUL GRID, CUHK Campus, and CUHK03

Domain Transfer for Person Re-identification

by Ryan Layne, Timothy M. Hospedales, Shaogang Gong
"... Automatic person re-identification in is a crucial capability underpinning many applications in public space video surveillance. It is challenging due to intra-class variation in person appearance when observed in different views, together with limited inter-class variability. Various recent approac ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
approaches have made great progress in re-identification performance using discriminative learning techniques. However, these approaches are fundamentally limited by the requirement of extensive annotated training data for every pair of views. For practical re-identification, this is an unreasonable

T.: The re-identification challenge

by Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales, Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales, Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales - In: Person Re-Identification , 2014
"... Abstract For making sense of the vast quantity of visual data generated by the rapid expansion of large scale distributed multi-camera systems, automated per-son re-identification is essential. However, it poses a significant challenge to com-puter vision systems. Fundamentally, person re-identifica ..."
Abstract - Cited by 6 (5 self) - Add to MetaCart
and health-care. As a result, the field has drawn growing and wide interest from academic researchers and industrial developers. This chapter introduces the re-identification problem, highlights the difficulties in building person re-identification systems, and presents an overview of recent progress

Person re-identification by pose priors

by Sławomir Bąk, Filipe Martins, Francois Brémond
"... The person re-identification problem is a well known retrieval task that requires finding a person of interest in a network of cameras. In a real-world scenario, state of the art algorithms are likely to fail due to serious perspective and pose changes as well as variations in lighting conditions ac ..."
Abstract - Add to MetaCart
The person re-identification problem is a well known retrieval task that requires finding a person of interest in a network of cameras. In a real-world scenario, state of the art algorithms are likely to fail due to serious perspective and pose changes as well as variations in lighting conditions

On the Exploration of Joint Attribute Learning for Person Re-identification

by Joseph Roth, Xiaoming Liu
"... Abstract. This paper presents an algorithm for jointly learning a set of mid-level attributes from an image ensemble by locating clusters of de-pendent attributes. Human describable attributes are an active research topic due to their ability to transfer between domains, human under-standing, and im ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of performance improvement. We evaluate the joint learning algorithm on a set of attributes for the task of person re-identification. We find that the proposed algorithm can improve classifier accuracy over both independent or fully joint attribute classification. Furthermore, the enhanced classifiers also

Learning to rank in person re-identification with metric ensembles

by Sakrapee Paisitkriangkrai, Chunhua Shen, Anton Van Den Hengel
"... We propose an effective structured learning based ap-proach to the problem of person re-identification which out-performs the current state-of-the-art on most benchmark data sets evaluated. Our framework is built on the ba-sis of multiple low-level hand-crafted and high-level vi-sual features. We th ..."
Abstract - Add to MetaCart
We propose an effective structured learning based ap-proach to the problem of person re-identification which out-performs the current state-of-the-art on most benchmark data sets evaluated. Our framework is built on the ba-sis of multiple low-level hand-crafted and high-level vi-sual features. We

Person Re-Identification by Efficient Impostor-based Metric Learning ∗

by Martin Hirzer, Peter M. Roth, Horst Bischof
"... Recognizing persons over a system of disjunct cameras is a hard task for human operators and even harder for automated systems. In particular, realistic setups show difficulties such as different camera angles or different camera properties. Additionally, also the appearance of exactly the same pers ..."
Abstract - Cited by 19 (0 self) - Add to MetaCart
person can change dramatically due to different views (e.g., frontal/back) of carried objects. In this paper, we mainly address the first problem by learning the transition from one camera to the other. This is realized by learning a Mahalanobis metric using pairs of labeled samples from different

S.Z.: Open-set person re-identification

by Shengcai Liao, Zhipeng Mo, Jianqing Zhu, Yang Hu, Stan Z. Li , 2014
"... Abstract. Person re-identification is becoming a hot research for devel-oping both machine learning algorithms and video surveillance applica-tions. The task of person re-identification is to determine which person in a gallery has the same identity to a probe image. This task basically as-sumes tha ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. Person re-identification is becoming a hot research for devel-oping both machine learning algorithms and video surveillance applica-tions. The task of person re-identification is to determine which person in a gallery has the same identity to a probe image. This task basically as
Next 10 →
Results 1 - 10 of 660
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