In this paper we present a new method that uses graph-based patternrecognition to compute the similarity between chemical molecules. Our method is used for prediction of the activity of chemical molecules, that is, t...
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ISBN:
(纸本)9789897580703
In this paper we present a new method that uses graph-based patternrecognition to compute the similarity between chemical molecules. Our method is used for prediction of the activity of chemical molecules, that is, the prediction of carcinogenicity of molecules. In our method, molecules are depicted as edge-weighted graphs, where each atom corresponds to a vertex and the bonds between the atoms are depicted as edges. the framework performs graph embedding by representing vertices as points in a geometric space. the similarity measure (distance) between the embedded points is computed using the Earth Mover's Distance (EMD) method, which is based on a distribution-based transportation algorithm. Our method shows promising results on the PTC dataset compared to the existing kernels.
the proceedings contain 20 papers. the special focus in this conference is on Biometrics, Document Image Inspection and Applications. the topics include: Voice passphrase variability evaluation for speaker recognition...
ISBN:
(纸本)9783319201245
the proceedings contain 20 papers. the special focus in this conference is on Biometrics, Document Image Inspection and Applications. the topics include: Voice passphrase variability evaluation for speaker recognition;studies in individuality;robust 2d face recognition under different illuminations using binarized partial face features;comparison of multidirectional representations for multispectral palmprint recognition;efficient iris recognition system using relational measures;a study of identification performance of facial regions from CCTV images;inverse of low resolution line halftone images for document inspection;when document security brings new challenges to document analysis;stamp verification for automated document authentication;introducing and analysis of the windows 8 event log for forensic purposes;automatic creation of computer forensic test images;art forgery detection via craquelure pattern matching;forensics acquisition and analysis of instant messaging and VOIP applications and an integrated tool for forensic writer identification.
the proceedings contain 55 papers. the special focus in this conference is on patternrecognition and Machine Intelligence. the topics include: Recent Advances in Recommender Systems and Future Directions;On the Numbe...
the proceedings contain 55 papers. the special focus in this conference is on patternrecognition and Machine Intelligence. the topics include: Recent Advances in Recommender Systems and Future Directions;On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions;Simplifying Contextual Structures;Towards a Robust Scale Invariant Feature Correspondence;Hierarchical Agglomerative Method for Improving NPS;A New Linear Discriminant Analysis Method to Address the Over-Reducing Problem;Procedural Generation of Adjustable Terrain for Application in Computer Games Using 2D Maps;Fixed Point Learning Based 3D Conversion of 2D Videos;Fast and Accurate Foreground Background Separation for Video Surveillance;Enumeration of Shortest Isothetic Paths Inside a Digital Object;Modified Exemplar-Based Image Inpainting via Primal-Dual Optimization;A Novel Approach for Image Super Resolution Using Kernel Methods;Generation of Random Triangular Digital Curves Using Combinatorial Techniques;Tackling Curse of Dimensionality for Efficient Content Based Image Retrieval;Face Profile View Retrieval Using Time of Flight Camera Image Analysis;Context-Based Semantic Tagging of Multimedia Data;Improved Simulation of Holography Based on Stereoscopy and Face Tracking;Head Pose Tracking from RGBD Sensor Based on Direct Motion Estimation;A Novel Hybrid CNN-AIS Visual patternrecognition Engine;Modified Orthogonal Neighborhood Preserving Projection for Face recognition;An Optimal Greedy Approximate Nearest Neighbor Method in Statistical patternrecognition.
G protein coupled receptors (GPCRs) are one of the most prominent and abundant family of membrane proteins in the human genome. Since they are main targets of many drugs, GPCR research has grown significantly in recen...
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ISBN:
(纸本)9783642341236
G protein coupled receptors (GPCRs) are one of the most prominent and abundant family of membrane proteins in the human genome. Since they are main targets of many drugs, GPCR research has grown significantly in recent years. However the fact that only few structures of GPCRs are known still remains as an important challenge. therefore, the classification of GPCRs is a significant problem provoked from increasing gap between orphan GPCR sequences and a small amount of annotated ones. this work employs motif distillation using defined parameters, distinguishing power evaluation method and general weighted set cover problem in order to determine the minimum set of motifs which can cover a particular GPCR subfamily. Our results indicate that in Family A Peptide subfamily, 91% of all proteins listed in GPCRdb can be covered by using only 691 different motifs, which can be employed later as an invaluable source for developing a third level GPCR classification tool.
Robotic applications impose hard real-time demands on their vision components. To accommodate the realtime constraints, the visual component of robotic systems are often simplified by narrowing the scope of the vision...
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DNA sequences recognition is a key problem in bioinformatics and biomedical informatics. In this paper, we solve this problem by use of the probability method and metric instead of traditional frequency metric because...
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ISBN:
(纸本)9781479927616
DNA sequences recognition is a key problem in bioinformatics and biomedical informatics. In this paper, we solve this problem by use of the probability method and metric instead of traditional frequency metric because the characters in DNA alphabet set meet the Markov properties. For this purpose, transition probabilities, transition matrixes, and log odds ratios are defined. And then, we put forward our sequence recognition algorithm based on the Markov model (SRM), which has better performance on time complexity than some sequence alignment algorithms in the same field. the results of the contrast experiments show that our SRM algorithm can recognize DNA sequences correctly and effectively without any ambiguities.
In this paper we conduct a comparative study of local key-point detectors and local descriptors for the specific task of mobile document classification. A classification architecture based on direct matching of local ...
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ISBN:
(纸本)9781479918058
In this paper we conduct a comparative study of local key-point detectors and local descriptors for the specific task of mobile document classification. A classification architecture based on direct matching of local descriptors is used as baseline for the comparative study. A set of four different key-point detectors and four different local descriptors are tested in all the possible combinations. the experiments are conducted in a database consisting of 30 model documents acquired on 6 different backgrounds, totaling more than 36.000 test images.
the proceedings contain 39 papers. the topics discussed include: weighted maximum variance dimensionality reduction;improved performance of computer networks by embedded pattern detection;on two definitions of reduct;...
ISBN:
(纸本)9783319074900
the proceedings contain 39 papers. the topics discussed include: weighted maximum variance dimensionality reduction;improved performance of computer networks by embedded pattern detection;on two definitions of reduct;a family of two-dimensional benchmark data sets and its application to comparing different cluster validation indices;studying Netconf in hybrid rule ordering strategies for associative classification;problem solving environment based on knowledge based system principles;positive and negative local trend association patterns in analysis of associations between time series;an effective permutant selection heuristic for proximity searching in metric spaces;a feasibility study on the use of binary keypoint descriptors for 3D face recognition;robust head gestures recognition for assistive technology;and noise-removal markers to improve PCA-based face recognition.
this paper introduces a new method for the calibration of a range camera based on active triangulation. the technique is based on a model derived from the geometry of the synchronised scanner. From known positions of ...
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