A Score Decidability Index for Dynamic Score Combination

Multimodal biometric innovation in light of unique mark and finger knuckle has pulled in footing among scientists as of late. Despite the fact that Uni-modular framework offers many focal points, it has certain intrinsic shortcomings which deny it of the appeal. Uni-modular unique finger impression biometric frameworks performed singular acknowledgment in light of a particular wellspring of biometric data. However the match score esteem must be enhanced by working with low quality little closer view zone biometric pictures. In fact, the confirmation forms delivered by Finger Knuckle Print (FKP) brings about higher relative changes. The distortions between FKP pictures of same finger are of higher extent. The unimodal biometric check framework frequently gets influenced after accomplishing higher match score esteem. Besides, bimodal check framework does not accomplish higher security level which prompts to lesser combination score esteem. To diminish relative change on multimodal biometric framework, NonFracture based Fingerprint and Finger-Knuckle print Biometric Score Fusion (NFF-BSF) component is proposed in this paper. At first, particular estimation of match score is measured utilizing multimodal fitting coarse grained dissemination work. Multimodal fitting coarse grained dissemination capacity is utilized to work with low quality petite frontal area biometric pictures that accomplish high fitting score on the test and preparing biometric pictures. Also, Non-Fracture misshapening handling is completed in NFF-BSF instrument to diminish the adjustment fit as a fiddle of protest by utilizing bend length on biometric picture surfaces. At last, a coordinating technique in NFF-BSF instrument is utilized to decrease the relative changes. Thus, the relative changes on multimodal biometric framework expands the match score combination esteem. Investigation is directed on variables, for example, certifiable acknowledgment rate, coordinating score combination level and blunder rate on multimodal coordinating

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Dynamic score combination of binary experts

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761804 ◽

2008 ◽

Cited By ~ 3

Author(s):

Roberto Tronci ◽

Giorgio Giacinto ◽

Fabio Roli

Keyword(s):

Score Combination

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The relation of serum PSA and Gleason's grade in patients with prostacic carcinoma

Vojnosanitetski pregled ◽

10.2298/vsp0304449z ◽

2003 ◽

Vol 60 (4) ◽

pp. 449-454 ◽

Cited By ~ 1

Author(s):

Sladjana Zivkovic ◽

Ljubinka Velickovic ◽

Milos Kostov ◽

Nebojsa Stojanovic

Keyword(s):

Serum Level ◽

Prostatic Carcinoma ◽

Clinical Course ◽

Malignant Tumors ◽

Serum Levels ◽

Serum Marker ◽

Prostatic Adenocarcinoma ◽

Biological Behaviour ◽

Correct Estimation ◽

Score Combination

The prostatic adenocarcinoma is one of the most frequent malignant tumors of men over 50 years of age. It is distinguished by agressive clinical course and heterogeneous multifocal hystomorphologic changes. PSA is the most reliable serum marker in diagnostics and observation of prostatic carcinoma and gleason's system of tumor-diferentiation grading is generally accepted way of determining the hystologic grade. Gleason's system is correlated with serum levels of PSA and with biological behaviour of the tumor. We presented 40 patients with verified ACP in whom the level of serum PSA, gleason's grade and score were compared. Highly significant correlation was found between serum level of PSA and the differentation grade of the tumor - Gleason's grade and score. Combination of PSA parameters and Gleason's score enables correct estimation of tumor's behaviour and correct therapeutic protocole.

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Exploiting Sparse Statistics for a Sequence-Based Prediction of the Effect of Mutations

Algorithms ◽

10.3390/a12100214 ◽

2019 ◽

Vol 12 (10) ◽

pp. 214 ◽

Cited By ~ 1

Author(s):

Mihaly Mezei

Keyword(s):

Amino Acid ◽

Recent Work ◽

Stability Change ◽

Significant Difference ◽

Folded Proteins ◽

Score Combination

Recent work showed that there is a significant difference between the statistics of amino acid triplets and quadruplets in sequences of folded proteins and randomly generated sequences. These statistics were used to assign a score to each sequence and make a prediction whether a sequence is likely to fold. The present paper extends the statistics to higher multiplets and suggests a way to handle the treatment of multiplets that were not found in the set of folded proteins. In particular, foldability predictions were done along the line of the previous work using pentuplet statistics and a way was found to combine the quadruplet and pentuplets statistics to improve the foldability predictions. A different, simpler, score was defined for hextuplets and heptuplets and were used to predict the direction of stability change of a protein upon mutation. With the best score combination the accuracy of the prediction was 73.4%.

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