Results 11 to 20 of about 8,025,626 (297)
Local Feature Discriminant Projection [PDF]
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]
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]
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
Accepted at the AAAI-21 Workshop on Explainable Agency in ...
Johannes Haug +3 more
openaire +3 more sources
Coloring Local Feature Extraction [PDF]
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]
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
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]
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]
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]
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

