Search results for "algebra"

showing 10 items of 4129 documents

Symmetrized Local States and Effective Dipole Moment within a Rovibrational Cartesian Picture.

1997

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Rovibrational Spectra. Algebraic Approach[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]Rovibrational Spectra. Algebraic Approach.
researchProduct

Algebraic Approach to Vibrational Spectra of Stibine Molecule

2002

International audience

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Vibrational SpectraLie AlgebraComputingMilieux_MISCELLANEOUS[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
researchProduct

U(p+1) : Application aux états moléculaires très excités.

2004

International audience

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Vibrational SpectraLie AlgebraComputingMilieux_MISCELLANEOUS[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
researchProduct

Algebraic Hamiltonian Adapted to Strech-Bend Coupling in the Stibine Molecule.

2003

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]XY3 MoleculesVibrational SpectraLie Algebra[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
researchProduct

Generalized algebraic treatment for XY2 molecules : application to D2S.

2009

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph][PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Molecular SpectraLie Algebra[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
researchProduct

Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO

2016

This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector is to reinforce robustness against non-rigid 3D shapes. Furthermore, an optimized WKS-based method for extracting key-points from objects is introduced. Due to its discriminative power, the associated optimized WKS values with each point remain extremely stable, which allows for efficient salient features extraction. To assert our method regarding its robustness against topological deformations,…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO ] Computer Science [cs]Matching (graph theory)Feature vectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[INFO] Computer Science [cs][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Kernel (linear algebra)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Discriminative modelRobustness (computer science)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSMathematicsbusiness.industryParticle swarm optimization[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognition020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)
researchProduct

Identifying Algebraic Properties to Support Optimization of Unary Similarity Queries

2009

International audience; Abstract. Conventional operators for data retrieval are either based on exact matching or on total order relationship among elements. Neither ofthem is appropriate to manage complex data, such as multimedia data, time series and genetic sequences. In fact, the most meaningful way tocompare complex data is by similarity. However, the Relational Algebra, employed in the Relational Database Management Systems (RDBMS),cannot express similarity criteria. In order to address this issue, we provide here an extension of the Relational Algebra, aimed at representingsimilarity queries in algebraic expressions. This paper identies fundamental properties to allow the integration…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB] Computer Science [cs]/Websimilarity algebra[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer sciencealgebraic properties[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][SCCO.COMP] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]query optimiza-tion[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]unary similarity queries[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
researchProduct

Stratified Autocalibration of Cameras with Euclidean Image Plane

2020

International audience; This paper tackles the problem of stratified autocalibration of a moving camera with Euclidean image plane (i.e. zero skew and unit aspect ratio) and constant intrinsic parameters. We show that with these assumptions, in addition to the polynomial derived from the so-called modulus constraint, each image pair provides a new quartic polynomial in the unknown plane at infinity. For three or more images, the plane at infinity estimation is stated as a constrained polynomial optimization problem that can efficiently be solved using Lasserre's hierarchy of semidefinite relaxations. The calibration parameters and thus a metric reconstruction are subsequently obtained by so…

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUS
researchProduct

A note on Hilbert’s weak nullstellensatz

2015

In this article, through a suitable generalization of the well-known notion of spectrum of an element of an arbitrary normed algebra of Operator Theory, it will be possible to give another simple proof of the Hilbert’s Weak Nullstellensatz.

[MATH.MATH-AC] Mathematics [math]/Commutative Algebra [math.AC]lcsh:MathematicsSpectrum[MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA]lcsh:Descriptive and experimental mechanicsOperator algebraComputer Science::Computational GeometryComputer Science::Data Structures and Algorithmslcsh:QA1-939Ideallcsh:QC120-168.85
researchProduct

On Gelfand-Mazur Theorem

2015

From a suitable extension of the notion of spectrum drew from normed algebra theory, it will be possible, among other things, to provide some generalizations of the well-known Gelfand-Mazur theorem. In this brief research report, we wish to pursue one of these, as achieved in I,4.

[MATH.MATH-AC] Mathematics [math]/Commutative Algebra [math.AC]topology[MATH.MATH-AC]Mathematics [math]/Commutative Algebra [math.AC]Gelfand-Mazur theorem[MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA][MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA][MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA][MATH.MATH-OA] Mathematics [math]/Operator Algebras [math.OA]ComputingMilieux_MISCELLANEOUSspectrum
researchProduct