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Tomography Reconstruction Based on Null Space Search
The paper introduces a new tomography reconstruction approach for gray and binary image reconstruction. The proposed method intends to find a...
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A null-space approach for large-scale symmetric saddle point systems with a small and non zero (2, 2) block
Null-space methods have long been used to solve large sparse n × n symmetric saddle point systems of equations in which the (2, 2) block is zero....
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Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning
Continual learning is a learning paradigm that learns tasks sequentially with resources constraints, in which the key challenge is...
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Geometric Algebras of Compatible Null Vectors
A (Clifford) geometric algebra is usually defined in terms of a quadratic form. A null vector v is an algebraic quantity with the property that...
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CVApool: using null-space of CNN weights for the tooth disease classification
In light of current developments in dental care, dental professionals have increasingly used deep learning methods to get precise diagnoses of oral...
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Alice and the Caterpillar: A more descriptive null model for assessing data mining results
We introduce novel null models for assessing the results obtained from observed binary transactional and sequence datasets, using statistical...
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Periodic-confidence: a null-invariant measure to discover partial periodic patterns in non-uniform temporal databases
Partial Periodic Pattern Mining (3PM) is a key knowledge discovery technique with many applications. It involves discovering all patterns that have...
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ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery
We introduce a novel class of null models for the statistical validation of results obtained from binary transactional and sequence datasets. Our...
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Construction of spectrally-null-constrained zero-correlation zone sequences with flexible support
In recent years, zero-correlation zone (ZCZ) sequences have been studied due to their significant applications in quasi-synchronous code division...
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Accelerating BGV Bootstrap** for Large p Using Null Polynomials over \(\mathbb {Z}_{p^e}\)
The BGV scheme is one of the most popular FHE schemes for computing homomorphic integer arithmetic. The bootstrap** technique of BGV is necessary...
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A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation
We present a method, which allows to train a Generalized Matrix Learning Vector Quantization (GMLVQ) model for classification using data from...
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Attitude Determination Method Based on GNSS Signals Null Steering Technology
GNSS signals are usually used for positioning, but some applications also use them to determinate direction, such as geography north. The attitude of...
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Robust multi-label feature learning-based dual space
Multi-label learning handles instances associated with multiple class labels. The original label space is a logical matrix with entries from the...
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New proxemics in new space: proxemics in VR
With the development of computer technology, it is possible to design virtual reality (VR) media that provides services to multiple users. Hall’s...
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Keep It Simple: Evaluating Local Search-Based Latent Space Editing
Semantic image editing allows users to selectively change entire image attributes in a controlled manner with just a few clicks. Most approaches use...
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Harnessing heterogeneity in space with statistically guided meta-learning
Spatial data are ubiquitous, massively collected, and widely used to support critical decision-making in many societal domains, including public...
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Grasp space exploration method for an underactuated gripper using human initiated primitive grasps
Grasp planning and most specifically the grasp space exploration when considering adaptive and underactuated multifingered grippers is still an open...
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Feature extraction from null and non-null spaces of kernel local discriminant embedding
Extracting discriminative features and reducing the dimensionality of data are two main objectives of manifold learning. Among different techniques,...
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Counterfactual explanations as interventions in latent space
Explainable Artificial Intelligence (XAI) is a set of techniques that allows the understanding of both technical and non-technical aspects of...
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Reformulation of Some Indices Using Null Player Free Winning Coalitions
The proposal of this paper is a new representation for some power indices in a simple game using null player free winning coalitions. Analogously to...