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20092026
most citedDeep Learning for Anomaly Detection: A Review

2.7k citations · 7.3k across the 172 of their papers we have counts for

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Showing 2013Show all

17 papers · 1 filter

cs.CV2013★ 5 cited

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations

Zhen Zhang, Qinfeng Shi, Yanning Zhang +2

LP relaxation-based message passing algorithms provide an effective tool for MAP inference over Probabilistic Graphical Models. However, different LP relaxations often have differe…

cs.CV2013

Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization

Guosheng Lin, Chunhua Shen, Anton van den Hengel +1

Wepresentanovelcolumngenerationbasedboostingmethod for multi-class classification. Our multi-class boosting is formulated in a single optimization problem as in Shen and Hao (2011)…

cs.CV2013★ 11 cited

Contextual Hypergraph Modelling for Salient Object Detection

Xi Li, Yao Li, Chunhua Shen +2

Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this wor…

cs.CV2013★ 2 cited

Online Unsupervised Feature Learning for Visual Tracking

Fayao Liu, Chunhua Shen, Ian Reid +1

Feature encoding with respect to an over-complete dictionary learned by unsupervised methods, followed by spatial pyramid pooling, and linear classification, has exhibited powerful…

cs.CV2013★ 6 cited

Efficient pedestrian detection by directly optimize the partial area under the ROC curve

Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel

Many typical applications of object detection operate within a prescribed false-positive range. In this situation the performance of a detector should be assessed on the basis of t…

cs.LG2013

A General Two-Step Approach to Learning-Based Hashing

Guosheng Lin, Chunhua Shen, David Suter +1

Most existing approaches to hashing apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form. This tight coupling r…