Computer science Geometric and landmark-based approaches to speech representation and recognition THE UNIVERSITY OF CHICAGO Partha Niyogi JansenArenAnyone who has used an automatic speech recognition (ASR) system, either on a customer support line or on their own personal computer, knows firsthand ...
Local latent descriptors 这个des的目的是解决一个delimma:除了我们定义的landmark,可能还有一些latent representation,要复原一个image,仅仅landmarks是绝对不够的,所以需要一些其他的信息作为一个补充,但表达他们又有可能影响landmark的表达。 在这里,文章又用了另一个hourglass network,如图中左下角的F,就在我们之前...
To synchronize a set of curves, we propose a new nonparametric landmark-based registration method based on the alignment of the structural intensity of the zero-crossings of a wavelet transform. The structural intensity is a recently proposed multiscale technique that highlights the main features of...
Study on landmark-based qualitative positional representation A new method named Landmark-based Qualitative Reference System (LBQRS) is introduced to express qualitative positional information in this paper. LBQRS pro... Z Gao,X Wang,G Zeng - International Conference on Space Information Technology ...
To address the issues of reduced numbers and instability in traditional IPv6 landmarks, we propose a novel IPv6 landmark representation method, “landmark-v6”, which is grounded in multi-feature clustering. Firstly, IPv6 addresses are filtered based on multiple attributes derived from network ...
9.2.1.1 Point-based representation A landmark l is a point l=(xˆ,yˆ) often associated with certain anatomical structure or characteristic feature, which may or may not be present in the image I. So, the point-based representation is the most straightforward. Directly using the point-ba...
Hole Detection and Shape-Free Representation and Double Landmarks Based Geographic Routing in Wireless Sensor Networks and Shen, J.: Hole detection and shape-free repre- sentation and double landmarks based geographic routing in wireless sensor networks, Digital ... J Yang,Z Fei,J Shen - 《...
The enhancement of computing efficiency brings an increasingly complex structure of machine learning models. Mahoor et al. [14] classified combined AUs using the sparse representation (SR) classifier. Both Wang and Lien [15] and Valstar and Pantic [16] constructed the AU recognition models using ...
The proposed landmark-based multi-scale LBP feature samples features around landmarks instead of fixed grid and adopts multi-scale histogram to get more robust representation.The multi-scale fixed grid sampling features are also combined, which can provide the geometric information among the Ke-Kun...
if our test indicates that there is risk of changing manifold topology (“short-circuit”) by using such landmarks to represent the manifold, besides the obvious solution of adding more points into the landmark set, we have also developed an optimization-based algorithm to adjust the existing ...