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Robust enhanced collaborative filtering without explicit noise filtering
Graph convolutional neural networks have been successfully applied to collaborative filtering to capture high-quality user-item representations....
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Edge-aware texture filtering with superpixels constraint
Extracting meaningful structural edges from complex texture images presents a significant challenge. Accurately measuring and differentiating texture...
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Extracting, filtering and simulating cellular barcodes using CellBarcode tools
Identifying true DNA cellular barcodes among polymerase chain reaction and sequencing errors is challenging. Current tools are restricted in the...
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Reversed particle filtering for hidden markov models
We present an approach to selecting the distributions in sampling-resampling which improves the efficiency of the weighted bootstrap. To complement...
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Iterative unsupervised deep bilateral texture filtering
Texture filtering attempts to retain salient structures and remove insignificant textures. In this paper, we propose a highly effective iterative...
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A quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm
The proposed algorithm in this paper is the quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm, which offers a simplified...
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Collaborative Filtering
Collaborative filtering is a very popular method in recommendation engines. It is the predictive process behind the suggestions provided by these...
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Linear-fitting-based recursive filtering for nonlinear systems under encoding-decoding mechanism
This paper deals with a recursive filtering problem for a class of discrete time-varying nonlinear networked systems with the encoding-decoding...
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Anti-aliasing method based on rotated spatial filtering
Due to the evolution of graphics processors over recent decades it has now become possible to produce high-quality, realistic three-dimensional...
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Tiling and PCA Strategy for Clustering-Based High-Dimensional Gaussian Filtering
Edge-preserving filtering is an essential tool for image processing applications and has various types of filtering. High-dimensional Gaussian...
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Comparative analysis of collaborative filtering techniques for the multi-criteria recommender systems
Recommender systems are essential tools for many e-commerce services, such as Amazon, Netflix, etc. to recommend new items to users. Among various...
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Method for Detecting Manipulation Attacks on Recommender Systems with Collaborative Filtering
Abstract —The security of recommendation systems with collaborative filtering from manipulation attacks is considered. The most common types of...
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Adaptive spectral graph wavelets for collaborative filtering
Collaborative filtering is a popular approach in recommender systems, whose objective is to provide personalized item suggestions to potential users...
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Slicers and Filtering
One of the key ingredients of any Power BI report is the ability of the consumers of the report to browse information by filtering the subsets of...
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Brain-inspired filtering Network for small infrared target detection
Small infrared target detection is a challenge in computer vision because small infrared target occupies fewer pixels and the environment around the...
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Semantic-aware structure-preserving median morpho-filtering
According to the recent developments, the most challenging part of texture filtering is to filter out the irregular and varying scale texture while...
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Non-pairwise Collaborative Filtering
On the users’ interaction graph, neighbors have been widely explored in the embedding function of collaborative filtering to address the sparsity...
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A novel kernel filtering algorithm based on the generalized half-quadratic criterion
In this work we combine the kernel method and the generalized half-quadratic criterion, and a kernel adaptive filtering algorithm is proposed based...
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A hybrid collaborative filtering mechanism for product recommendation system
The collaborative model is the needed framework to find a good product in both user- and budget-friendly. These collaborative filtering models have...
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Robust median filtering forensics using texture feature and deep fully connected network
Image forensics researchers have recently focused a lot of attention on detection of median filtering that is used to hide evidence of image forgery...
