Results 61 to 70 of about 1,673,879 (163)
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
, 2019 Dimensionality reduction is an essential technique for multi-way large-scale data, i.e., tensor. Tensor ring (TR) decomposition has become popular due to its high representation ability and flexibility.
Cao, Jianting +3 more
core +1 more source
Exploiting multi-scale hierarchical feature representation for visual tracking
Complex & Intelligent SystemsConvolutional neural networks (CNNs) have been the dominant architectures for feature extraction tasks, but CNNs do not look for and focus on some specific image features. Correlation operations play an important role in visual tracking.
Jun Wang +4 more
doaj +1 more source
Spectral Analysis of Multi-dimensional Self-similar Markov Processes
, 2010 In this paper we consider a discrete scale invariant (DSI) process $\{X(t), t\in {\bf R^+}\}$ with scale $l>1$. We consider to have some fix number of observations in every scale, say $T$, and to get our samples at discrete points $\alpha^k, k\in {\bf W}$
Borgnat P +11 more
core +1 more source
Multi-chart Generative Surface Modeling
, 2019 This paper introduces a 3D shape generative model based on deep neural networks. A new image-like (i.e., tensor) data representation for genus-zero 3D shapes is devised.
Avineri, Gal +4 more
core +1 more source
Cartographic Generalization of Islands Using Remote Sensing Images for Multiscale Representation
Remote SensingThe multi-scale representation of remote sensing images provides various levels of image information crucial for decision-making in GIS applications and plays a significant role in information processing, data analysis, and geographic modeling ...
Renzhu Li, Yilang Shen, Wanyue Dai
doaj +1 more source
Radar Target Recognition Based on Feature Pyramid Fusion Lightweight CNN
IEEE Access, 2019 In order to improve the accuracy and robustness of radar target recognition under low SNR conditions, a novel radar high range resolution profile (HRRP) target recognition method based on feature pyramid fusion lightweight CNN is proposed in this paper ...
Chen Guo +4 more
doaj +1 more source
Predicting the Future with Multi-scale Successor Representations [PDF]
, 2018 AbstractThe successor representation (SR) is a candidate principle for generalization in reinforcement learning, computational accounts of memory, and the structure of neural representations in the hippocampus. Given a sequence of states, the SR learns a predictive representation for every given state that encodes how often, on average, each upcoming ...
Momennejad, Ida, Howard, Marc W.
openaire +1 more source
Real-Time Scale Selection in Hybrid Multi-scale Representations
, 2003 Local scale information extracted from visual data in a bottom-up manner constitutes an important cue for a large number of visual tasks. This article presents a framework for how the computation of such scale descriptors can be performed in real time on a standard computer.
Lindeberg, Tony, Bretzner, Lars
openaire +3 more sources
Synergy-CLIP: Extending CLIP With Multi-Modal Integration for Robust Representation Learning
IEEE AccessMulti-modal representation learning has become a pivotal area in artificial intelligence, enabling the integration of diverse modalities such as vision, text, and audio to solve complex problems.
Sangyeon Cho +3 more
doaj +1 more source
IEEE AccessSemantic segmentation remains challenging in real-world scenes due to variations in object scale, frequent occlusions, and ambiguous boundaries. We propose HieraASGSegNet, a hierarchical segmentation framework that performs adaptive superpixel graph ...
Jinliang Liang, Gang Wei
doaj +1 more source