the proceedings contain 51 papers. the topics discussed include: Bayesian approach to the concept drift in the patternrecognition problems;transductive relational classification in the co-training paradigm;generalize...
ISBN:
(纸本)9783642315367
the proceedings contain 51 papers. the topics discussed include: Bayesian approach to the concept drift in the patternrecognition problems;transductive relational classification in the co-training paradigm;generalized nonlinear classification model based on cross-oriented choquet integral;reduction of distance computations in selection of pivot elements for balanced GHT structure;hot deck methods for imputing missing data: the effects of limiting donor usage;a new approach for association rule mining and bi-clustering using formal concept analysis;selecting classification algorithms with active testing;unsupervised grammar inference using the minimum description length principle;how many trees in a random forest?;constructing target concept in multiple instance learning using maximum partial entropy;and a new learning structure heuristic of Bayesian networks from data.
Analyzing digital devices to generate digital evidence relevant to incidents is essential in modern digital investigations. machinelearning models and patternrecognition capabilities can be used in forensic analysis...
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this book constitutes the refereed proceedings of the 8thinternationalconference, mldm 2012, held in Berlin, Germany in July 2012. the 51 revised full papers presented were carefully reviewed and selected from 212 s...
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ISBN:
(数字)9783642315374
ISBN:
(纸本)9783642315367
this book constitutes the refereed proceedings of the 8thinternationalconference, mldm 2012, held in Berlin, Germany in July 2012. the 51 revised full papers presented were carefully reviewed and selected from 212 submissions. the topics range from theoretical topics for classification, clustering, association rule and patternmining to specific datamining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
the proliferation of low power and low cost continuous sensing technology is enabling new and innovative applications in wearables and Internet of things (IoT). At the same time, new applications are creating challeng...
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ISBN:
(纸本)9783319419206;9783319419190
the proliferation of low power and low cost continuous sensing technology is enabling new and innovative applications in wearables and Internet of things (IoT). At the same time, new applications are creating challenges to maintain real-time response in a resource-constrained device, while maintaining an acceptable performance. In this paper, we describe an IMU (Inertial Measurement Unit) sensor-based generalized hand gesture recognition system, its applications, and the challenges involved in implementing the algorithm in a resource-constrained device. We have implemented a simple algorithm for gesture spotting that substantially reduces the false positives. the gesture recognition model was built using the data collected from 52 unique subjects. the model was mapped onto Intel (R) Quark (TM) SE pattern Matching Engine, and field-tested using 8 additional subjects achieving 92% performance.
We can face withthe patternrecognition problems where the influence of hidden context leads to more or less radical changes in the target concept. this paper proposes the mathematical and algorithmic framework for t...
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In this paper, we study the computer recognition of emotions involved in facial expressions. We propose a recognition system based on a support vector machine (SVM) system as a classifier for detecting of spontaneous ...
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Malicious PDF files have been used to harm computer security during the past two-three years, and modern antivirus are proving to be not completely effective against this kind of threat. In this paper an innovative te...
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Multiple instance learning, when instances are grouped into bags, concerns learning of a target concept from the bags without reference to their instances. In this paper, we advance the problem with a novel method bas...
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Bi-directional Associative Memory (BAM) is an artificial neural network that consists of two Hopfield networks. the most important advantage of BAM is the ability to recall a stored pattern from a noisy input, which d...
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Regression is the study of functional dependency of one numeric variable with respect to another. In this paper, we present a novel, efficient, binary search based regression algorithm having the advantage of low comp...
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