Results 11 to 20 of about 8,025,626 (297)

Local Feature Discriminant Projection [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong   +3 more
core   +7 more sources

An incremental approach to MSE-based feature selection [PDF]

open access: yes, 2007
Feature selection plays an important role in classification systems. Using classifier error rate as the evaluation function, feature selection is integrated with incremental training.
Guan, SU, Bao, C, Qi, Y
core   +6 more sources

Mutation Based Feature Localization [PDF]

open access: yes2014 15th International Microprocessor Test and Verification Workshop, 2014
The complexity of modern chip designs is rapidly increasing. More and more blocks from old designs are reused and third party IP is licensed to fulfill strict time-to-market constraints. Often, poor documentation of such blocks makes improvements and extensions of the blocks a difficult time consuming task.
Jan Malburg   +2 more
openaire   +3 more sources

On Baselines for Local Feature Attributions

open access: yesCoRR, 2021
Accepted at the AAAI-21 Workshop on Explainable Agency in ...
Johannes Haug   +3 more
openaire   +3 more sources

Coloring Local Feature Extraction [PDF]

open access: yes, 2006
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary ...
Joost van de Weijer 0001   +1 more
openaire   +3 more sources

Local feature weighting in nearest prototype classification [PDF]

open access: yes, 2008
The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro   +2 more
core   +1 more source

Feature localization and identification

open access: yesActa Psychologica, 2001
Theories on visual search differ substantially with respect to the relationship they assume between localization and identification processes. The aim of the present study was to rigorously compare the alternative theoretical notions on how localization and identification processes are related.
Donk, M., Meinecke, C.
openaire   +3 more sources

Unsupervised Local Feature Hashing for Image Similarity Search [PDF]

open access: yes, 2016
The potential value of hashing techniques has led to it becoming one of the most active research areas in computer vision and multimedia. However, most existing hashing methods for image search and retrieval are based on global feature representations ...
Liu, Li, Shao, Ling, Yu, Mengyang
core   +1 more source

Face and Facial Feature Localization [PDF]

open access: yes, 2005
In this paper we present a general technique for face and facial feature localization in 2D color images with arbitrary background. In a previous work we studied an eye localization module, while here we focus on mouth localization. Given in input an image that depicts a sole person, first we exploit the color information to limit the search area to ...
P.Campadelli   +3 more
openaire   +4 more sources

A niching memetic algorithm for simultaneous clustering and feature selection [PDF]

open access: yes, 2008
Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Liu, X, Sheng, W, Fairhurst, M
core   +6 more sources

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