Online signature verification is the process of using a dynamic system to confirm writer’s identity. It can be used as security entrance applications and password substitutes, well forensic tool assist an expert’s investigation. This study proposes novel online based on single-template strategy improve performance in real-world scenarios. employs discriminative mean template sets fusion strateg...

Many time series data mining problems can be solved with repeated use of distance measure. Examples such tasks include similarity search, clustering, classification, anomaly detection and segmentation. For over two decades it has been known that the Dynamic Time Warping (DTW) measure is best to for most tasks, in domains. Because classic DTW algorithm quadratic complexity, many ideas have intro...

GPS trajectory data in intersections are series with different lengths. Dynamic time wrapping (DTW) is good to measure the similarity between lengths, however, traditional DTW could not deal inclusive relationship well series. We propose a unified generalized algorithm (GDTW) by extending boundary constraint and continuity of using weighted local distance normalize cumulative distance. Based on...

We describe a wordspotting algorithm based on a predictive neural model for a telephone speech corpus. Each keyword is modeled as a whole word. For keyword detection scoring we used a minimum accumulated prediction residual. We computed empirically a threshold value for rejecting non-keyword speech in place of building non-keyword models. We tested the algorithm with the TUBTEL telephone speech...

This paper describes a spoken keyword search system developed at the Chinese University of Hong Kong (CUHK) for the query by example search on speech (QUESST) task of MediaEval 2014. This system utilizes posterior features and dynamic time warping (DTW) for keyword matching. Multiple types of posterior features are generated with different tokenizers, and then fused by a linear combination on t...

To overcome the computational complexity of the asynchronous Hidden Markov Model (AHMM), we present a novel multidimensional dynamic time warping (DTW) algorithm for hybrid fusion of asynchronous data. We show that our newly introduced multidimensional DTW concept requires significantly less decoding time while providing the same data fusion flexibility as the AHMM. Thus, it can be applied in a...