The analysis of a feature space that exhibits multiscale patterns often requires kernel estimation techniques with locally adaptive bandwidths, such as the variable-bandwidth mean shift. Proper selection of the kernel bandwidth is, however, a critical step for superior space analysis and partitioning. This paper presents a mean shift-based approach for local bandwidth selection in the multimoda...

Arc consistency algorithms are widely used to prune the search space of Constraint Satisfaction Problems (CSPs). Since many researchers associate arc consistency with binary normalized CSPs, there is a confusion between the notion of arc consistency and 2-consistency. 2-consistency guarantees that any instantiation of a value to a variable can be consistently extended to any second variable. Th...

The phase diagram for a lattice ring polymer under applied force, with variable solvent quality, for different topological knot states, is determined for the first time. In addition to eliminating pseudophases where the polymer is flattened into a single layer, it is found that nontrivial knots result in additional pseudophases under tensile force conditions.

Binary Decision Diagrams (BDDs) are an important data structure for the design of digital circuits using VLSI CAD tools. The ordering variables affects total number nodes and path length in BDDs. Finding a good variable is optimization problem previously many approaches have been implemented BDDs research works. In this paper, approach based on Spider Monkey Optimization (SMO) algorithm propose...

We prove that each OBDD (ordered binary decision diagram) for the middle bit of n-bit integer multiplication with one of the asymptotically best known variable orders, namely the pairwise ascending order x0, y0, . . . , xn−1, yn−1, requires size (2(6/5)n). This is asymptotically optimal due to an upper bound of the same order by Amano and Maruoka (2007).

In this paper, an efficient Error Data Normalized Variable Step Size Least Mean Square (EDNVSSLMS) adaptive algorithm is presented to enhance the quality of an Electrocardiogram (ECG) signal. Due to physiological and non-physiological effects, ECG signals usually undergo numerous artifacts such as Baseline Wander, Muscle artifact, Power Line Interference and Electrode Motion artifacts. The prop...

In this talk, we discuss the application of the normalized maximum likelihood (NML) for model selection in Gaussian linear regression. All the results which will be presented have been recently published in [1].

Proportionate-type normalized suband adaptive filter (PNSAF-type) algorithms are very attractive choices for echo cancellation. To further obtain both fast convergence rate and low steady-state error, in this paper, a variable step size (VSS) version of the presented improved PNSAF (IPNSAF) algorithm is proposed by minimizing the square of the noise-free a posterior subband error signals. A non...

Variable fluorescence normalized to maximal fluorescence, Fv/Fm, determined by Fast Repetition Rate Fluorometry (FRRF) is being increasingly used to compare photosynthetic electron transport capacity in natural phytoplankton communities. Interpreting results of such studies is, however, complicated by the fact that both nutrient status and light history (photoinhibition under in situ conditions...