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Toplam kayıt 21, listelenen: 11-20
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)
Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ...
Classifying 8-bit to 8-bit S-boxes based on power mappings from the point of DDT and LAT distributions
(Springer-Verlag Berlin, 2008)
S-boxes are vital elements in the design of symmetric ciphers. To date, the techniques for the construction of S-boxes have included pseudo-random generation, finite field inversion, power mappings and heuristic techniques. ...
Analyzing the Performance Differences Between Pattern Matching and Compressed Pattern Matching on Texts
(IEEE, 2013)
In this study the statistics of pattern matching on text data and the statistics of compressed pattern matching on compressed form of the same text data are compared. A new application has been developed to count the ...
Combining Deep Facial and Ambient Features for First Impression Estimation
(Springer International Publishing Ag, 2016)
First impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as ...
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
(Isca-Int Speech Communication Assoc, 2016)
The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ...
Kernel ELM and CNN based Facial Age Estimation
(IEEE, 2016)
e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose ...
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(IEEE Computer Soc, 2016)
Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ...
Comparative Analysis of Codeword Representation by Clustering Methods for the Classification of Histological Tissue Types
(Spie-Int Soc Optical Engineering, 2015)
In this study, the classification of several histological tissue types, i.e., muscles, nerves, connective and epithelial tissue cells, is studied in high resolutional histological images. In the feature extraction step, ...
Predicting the Direction of Movement for Stock Price Index Using Machine Learning Methods
(Springer-Verlag Berlin, 2016)
Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. The aim of this study is to predict ...
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
(Springer International Publishing Ag, 2016)
One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ...