A comprehensive survey to face hallucination
This paper comprehensively surveys the development of face hallucination (FH), including
both face super-resolution and face sketch-photo synthesis techniques. Indeed, these two …
both face super-resolution and face sketch-photo synthesis techniques. Indeed, these two …
A survey of multilinear subspace learning for tensor data
H Lu, KN Plataniotis, AN Venetsanopoulos - Pattern Recognition, 2011 - Elsevier
Increasingly large amount of multidimensional data are being generated on a daily basis in
many applications. This leads to a strong demand for learning algorithms to extract useful …
many applications. This leads to a strong demand for learning algorithms to extract useful …
Tensors for data mining and data fusion: Models, applications, and scalable algorithms
EE Papalexakis, C Faloutsos… - ACM Transactions on …, 2016 - dl.acm.org
Tensors and tensor decompositions are very powerful and versatile tools that can model a
wide variety of heterogeneous, multiaspect data. As a result, tensor decompositions, which …
wide variety of heterogeneous, multiaspect data. As a result, tensor decompositions, which …
Nonlocal low-rank tensor completion for visual data
In this paper, we propose a novel nonlocal patch tensor-based visual data completion
algorithm and analyze its potential problems. Our algorithm consists of two steps: the first …
algorithm and analyze its potential problems. Our algorithm consists of two steps: the first …
Gigatensor: scaling tensor analysis up by 100 times-algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the
predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the …
predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the …
Computer vision for fruit harvesting robots–state of the art and challenges ahead
Despite extensive research conducted in machine vision for harvesting robots, practical
success in this field of agrobotics is still limited. This article presents a comprehensive …
success in this field of agrobotics is still limited. This article presents a comprehensive …
Tensor-based anomaly detection: An interdisciplinary survey
H Fanaee-T, J Gama - Knowledge-based systems, 2016 - Elsevier
Traditional spectral-based methods such as PCA are popular for anomaly detection in a
variety of problems and domains. However, if data includes tensor (multiway) structure (eg …
variety of problems and domains. However, if data includes tensor (multiway) structure (eg …
Face recognition and micro-expression recognition based on discriminant tensor subspace analysis plus extreme learning machine
In this paper, a novel recognition algorithm based on discriminant tensor subspace analysis
(DTSA) and extreme learning machine (ELM) is introduced. DTSA treats a gray facial image …
(DTSA) and extreme learning machine (ELM) is introduced. DTSA treats a gray facial image …
A cloud image detection method based on SVM vector machine
P Li, L Dong, H Xiao, M Xu - Neurocomputing, 2015 - Elsevier
The satellite remote sensing image data volume is too big, therefore, transmitting, storing
and processing mass data is very difficult. Thus, the current methods may not perform well …
and processing mass data is very difficult. Thus, the current methods may not perform well …
Camera constraint-free view-based 3-D object retrieval
Recently, extensive research efforts have been dedicated to view-based methods for 3-D
object retrieval due to the highly discriminative property of multiviews for 3-D object …
object retrieval due to the highly discriminative property of multiviews for 3-D object …