Feature synergy depends on feature contrast and objecthood
نویسندگان
چکیده
منابع مشابه
Feature synergy depends on feature contrast and objecthood
Pairs of texture figures, defined by contrast in spatial frequency, orientation or both cues (redundant texture definition) had to be detected within a homogeneous Gabor field. In line with expectation we find better detection performance for arrangements with higher feature contrast along the border where the figures abut. Redundantly defined figures show synergy, a significant performance inc...
متن کاملFeature selection based on mutual information and redundancy-synergy coefficient.
Mutual information is an important information measure for feature subset. In this paper, a hashing mechanism is proposed to calculate the mutual information on the feature subset. Redundancy-synergy coefficient, a novel redundancy and synergy measure of features to express the class feature, is defined by mutual information. The information maximization rule was applied to derive the heuristic...
متن کاملAttentional guidance by salient feature singletons depends on intertrial contingencies.
Evidence that salient feature singletons guide attention only when the target and the singleton frequently coincide has been taken to suggest that selection of singletons is under top-down control: Observers strategically use an attentional set sensitive to the singleton being a target. Changing the singleton-target (or singleton-distractor) coincidence also changes the opportunity for facilita...
متن کاملA Real-Time Electroencephalography Classification in Emotion Assessment Based on Synthetic Statistical-Frequency Feature Extraction and Feature Selection
Purpose: To assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. Materials and Methods: In this study a combination of Power Spectral Density and a series of statistical features are proposed as statistical-frequency features. Next, a feature selection method from pattern recognition (PR) Tools is presented to e...
متن کاملOverlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery
Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Vision Research
سال: 2004
ISSN: 0042-6989
DOI: 10.1016/j.visres.2004.04.002