• No results found

feature sets

Assessing the Prosody of Non Native Speakers of English: Measures and Feature Sets

Assessing the Prosody of Non Native Speakers of English: Measures and Feature Sets

... individual feature sets using early and late fusion ...feature sets. For late fusion, a regressor is trained for each individual feature set, and the outputs are combined with another ...

5

Automatic Discovery of Feature Sets for Dependency Parsing

Automatic Discovery of Feature Sets for Dependency Parsing

... over, feature sets are specific to the languages be- ing analyzed and a set optimal for, say, English can yield poor results in Chinese. With depen- dency parsers being applied today to dozens of languages, ...

9

Evaluating the Efficiency of different Feature Sets on Brain Tumor Classification in MR Images

Evaluating the Efficiency of different Feature Sets on Brain Tumor Classification in MR Images

... SOURCE NOT FOUND . .First step is to segment the brain tumor from tumorous slices for each patient, and then slice with largest tumor area is extracted. Finally the efficiency of different feature sets on ...

7

Sentiment Analysis using Optimized Feature Sets in Different Twitter Dataset Domains

Sentiment Analysis using Optimized Feature Sets in Different Twitter Dataset Domains

... optimized feature sets model is offered to progression the tweet features and to recognize the out of sight sentiments from these ...optimized feature sets model Sentiment Analysis exercise ...

5

The Impact of Task Oriented Feature Sets on HMMs for Dialogue Modeling

The Impact of Task Oriented Feature Sets on HMMs for Dialogue Modeling

... The results suggest several important findings re- garding feature sets and preprocessing for learning HMMs of task-oriented dialogue. First, the models’ convergence patterns to a best-fit N, number of ...

10

Comparison of different feature sets for identification of variants in progressive aphasia

Comparison of different feature sets for identification of variants in progressive aphasia

... In this paper, we summarize previous research on the automatic analysis of speech samples from individuals with dementia, focusing in particular on primary progressive aphasia. We discuss in de- tail different types of ...

10

Combination of Different Feature Sets and SVM Classifier for Handwritten Gurumukhi Numeral Recognition

Combination of Different Feature Sets and SVM Classifier for Handwritten Gurumukhi Numeral Recognition

... different feature sets and classifiers used in offline handwritten Gurumukhi character and numeral ...all feature extraction techniques as well as training, classification and matching techniques ...

6

Exploring Different Preposition Sets, Models and Feature Sets in Automatic Generation of Spatial Image Descriptions

Exploring Different Preposition Sets, Models and Feature Sets in Automatic Generation of Spatial Image Descriptions

... In this paper we look at the question of how to create good automatic meth- ods for generating descriptions of spatial relationships between objects in images. In particular, we investigate the impact of varying ...

5

Arabic Named Entity Recognition using Optimized Feature Sets

Arabic Named Entity Recognition using Optimized Feature Sets

... optimum feature set per NE ...optimal feature set, then com- bine the different classifiers for a global NER sys- ...many sets of fea- tures for each class of NEs: contextual, lexical, mor- ...

10

Complementary feature sets for optimal face recognition

Complementary feature sets for optimal face recognition

... Local feature extraction approaches deal with fine infor- mation within the specific parts of face images such as eyes, nose, mouth, ...local feature extraction approaches have been classified into two ...

18

Scrutable Feature Sets for Stance Classification

Scrutable Feature Sets for Stance Classification

... For feature sets produced by each model described in the Methods section, we used the FilteredAttributeEval method avail- able in Weka for feature selection, retaining all features with a score ...

10

Video anomaly detection with compact feature sets for online performance

Video anomaly detection with compact feature sets for online performance

... 2) Time performance: Our proposed framework is imple- mented in MATLAB and tested on a 2.7GHz CPU with 8GB of RAM. Our full end-to-end MATLAB implementation is available in https://cvrleyva.wordpress.com/. The code is ...

17

Extracting Complex Biological Events with Rich Graph Based Feature Sets

Extracting Complex Biological Events with Rich Graph Based Feature Sets

... implementations currently available. Analogously to the binary SVMs, multi-class SVMs have a reg- ularization parameter that determines the trade-off between the training error and the complexity of the learned concept. ...

9

Download
			
			
				Download PDF

Download Download PDF

... different feature sets were tested on three databases, FVC 2000 DB1, 2002 DB3 and 2004 DB1 [5, 6, 7], to iden- tify which feature sets would give a good performance on all three ...database. ...

8

Design Pattern Identification and Its Models

Design Pattern Identification and Its Models

... of feature sets. These Feature Sets are chosen in such a way that different patterns occupy non- overlapping feature ...the feature set is determined by how well patterns from ...

6

Cosine Similarity for Article Section Classification: Using Structured Abstracts as a Proxy for an Annotated Corpus

Cosine Similarity for Article Section Classification: Using Structured Abstracts as a Proxy for an Annotated Corpus

... word feature-set improved upon by switching to either the bi-gram feature-set or the hybrid feature-set (see table .../ feature-weighting / feature-set configuration, other than the ...

104

AMD64 Architecture Programmer's Manual Volume 3 General Purpose and System Instructions pdf

AMD64 Architecture Programmer's Manual Volume 3 General Purpose and System Instructions pdf

... Instruction Subsets and CPUID Feature Sets continued Instruction Subset and CPUID Feature Sets1.. Move Packed SinglePrecision Floating-Point High to Low.[r] ...

474

Transfer learning for detecting unknown network attacks

Transfer learning for detecting unknown network attacks

... traffic feature is more distin- guishable for DoS ...content feature is more ...different feature sets, not for improving the ...manual feature engineering as we have less information ...

13

Question Classification using Head Words and their Hypernyms

Question Classification using Head Words and their Hypernyms

... different feature types to question classification ...following feature sets: 1) wh- word + head word, 2) wh-word + head word + direct hypernym, 3) wh-wod + head word + indirect hyper- nym, 4) ...

10

Predicting Specificity in Classroom Discussion

Predicting Specificity in Classroom Discussion

... additional feature sets yield better performance than the Speciteller feature set by ...ture sets are able to capture aspects of speci- ficity with respect to verbal discussion and the ...

10

Show all 10000 documents...

Related subjects