A discriminative large margin classifier based approach to anaphora resolution for neuroscience abstracts is presented. The system employs both syntactic and semantic features. A support vector machine based word sense disambiguation method combining evidence from three methods, that use WordNet and Wikipedia, is also introduced and used for semantic features. The support vector machine anaphor...

Biometrics is a field that uses behavioral and biological traits to identify/verify person. Characteristics include handwrittien signature, iris, gait, fingerprint. Signature-based biometric systems are common due their simple collection non-intrusive. Identify the humans using handwritten signatures has received an important attention in several modern crucial applications such as automatic ba...

In this present paper it deals with the Gender Classification from ECG signal using Least Square Support Vector Machine (LS-SVM) and Support Vector Machine (SVM) Techniques. The different features extracted from ECG signal using Heart Rate Variability (HRV) analysis are the input to the LS-SVM and SVM classifier and at the output the classifier, classifies whether the patient corresponding to r...