A trainable method for distinguishing between mathematics notation and natural language (here, English) in images of textlines, using computational geometry methods only with no a...
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
CodeSurfer/x86 is a prototype system for analyzing x86 executables. It uses a static-analysis algorithm called value-set analysis (VSA) to recover intermediate representations that...
Gogul Balakrishnan, Radu Gruian, Thomas W. Reps, T...
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
This work defines several control-flow coverage criteria for testing the interactions among a set of collaborating objects. The criteria are based on UML sequence diagrams that a...