[PDF] Top 20 Advances in Feature Selection with Mutual Information
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Advances in Feature Selection with Mutual Information
... data with a number of (effective) parameters which is lower than the dimension of the ...decrease in some way the dimension of the data space, with- out significant loss of ...combined. ... Voir le document complet
20
Binary Feature Selection with Conditional Mutual Information
... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des V[r] ... Voir le document complet
20
Omnidirectional Visual Servoing using the Normalized Mutual Information
... the information provided by the entire image (Nayar et ...began with Nayar et ...images. In Collewet and Marchand (2011), a control law was proposed that minimizes the error between the current image ... Voir le document complet
7
Human-in-the-Loop Feature Selection
... Per-example feature selection has also been studied in (Avdiyenko, Bertschinger, and Jost ...the mutual information between fea- tures and target variables, conditioned on the specific ... Voir le document complet
9
Non-convex Regularizations for Feature Selection in Ranking with Sparse SVM
... the Information Technology Depart- ment, National Institute of Applied Science (INSA), Rouen, ...science with the Compiegne University of Technology in 1987. In 1997, he joined the Rouen ... Voir le document complet
14
Intelligent feature based resource selection and process planning
... process selection for a given set of product characteristics & requirements is a multi-criterion problem which is strongly influenced by interdependent manufacturing knowledge like product knowledge (product ... Voir le document complet
13
Mutual information-based visual servoing
... but in order to reduce the dimensionality of image data, they perform an eigenspace decomposition of the ...directly in the eigenspace requiring both an off-line computation of this eigenspace (us- ing a ... Voir le document complet
13
Context-Aware Service Selection with Uncertain Context Information
... context information into ...key feature of SOA is that services are independent entities, with well-defined interfaces, that can be invoked in a standard way, without requiring the client to ... Voir le document complet
13
Feature selection in Haptic-based handwritten signatures using rough sets
... types in user identification: Feature selection using a rough set-based approach is also exploited to determine the importance of different haptic data types in discriminating between ... Voir le document complet
9
RELEVANT FEATURE SELECTION FOR HOME APPLIANCES RECOGNITION
... features selection. 1 I NTRODUCTION In a global trend of seeking for more power effi- ciency and more controllability over electrical en- ergy consumption, home appliances recognition us- ing voltage and ... Voir le document complet
7
Feature selection with Rényi min-entropy
... of feature selection, and we propose a new information-theoretic algorithm for ordering the features according to their rele- vance for ...consists in adopting R´enyi min-entropy instead of ... Voir le document complet
16
Crisp Boundary Detection Using Pointwise Mutual Information
... jects in visual scenes is an important component of many vision algo- ...rithms. In this paper, we propose a novel method for detecting such boundaries based on a simple underlying principle: pixels ... Voir le document complet
17
Keyword Optimization in Sponsored Search via Feature Selection
... results in higher ...operates in a video signal processing business. In the reported period, it advertised on 388 unique keywords ranging from single words to 5-word ...resulted in paid clicks ... Voir le document complet
15
Optimal Detection and Tracking of Feature Points using Mutual Information
... observer with respect to that scene or to other events like illumination ...proposed in [15]. Dealing with target tracking, under the assumption of a Lambertian scene, illumination variations can be ... Voir le document complet
5
Mutual information-based feature selection enhances fMRI brain activity classification
... the selection. We have studied the size of the selection for different values of α (see ...voxels with the highest F-score in Anova, in order to reduce the computation ...the ... Voir le document complet
5
Best information is most successful: Mutual information and success rate in side-channel analysis
... inaccurate in practical situations, in particular because the model must be non-injective for MIA to be ...distinguisher. In this paper, we aim at determining a conservative minimum trace count ... Voir le document complet
32
Learning Disentangled Representations via Mutual Information Estimation
... In the colored-MNIST dataset case, a classifier trained on the shared representation must perform well at digit number classification while the accuracy must be close to 8.33% (random decision between 12 colors) ... Voir le document complet
10
SVM feature selection for multidimensional EEG Data
... ABSTRACT In many machine learning applications, like Brain - Com- puter Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task ...non-trivial. In this work, we ... Voir le document complet
5
Interocular yoking in human saccades examined by mutual information analysis.
... the information about the movements and direc- tions were given to the ...started with the illumination of a fixation point, a small cross, at the centre of the screen ...reappeared in the centre of ... Voir le document complet
16
Entropy and mutual information in models of deep neural networks
... observe in our high-dimensional experiments that compression does happen during learning, even when using ReLU ...compression in our setting, there are many directions to be further explored within the ... Voir le document complet
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