LEADER 04477nam 2200577 450 001 9910786640103321 005 20230120014809.0 010 $a1-4832-6611-7 035 $a(CKB)3710000000201156 035 $a(EBL)1901635 035 $a(SSID)ssj0001433165 035 $a(PQKBManifestationID)11773696 035 $a(PQKBTitleCode)TC0001433165 035 $a(PQKBWorkID)11425684 035 $a(PQKB)11230333 035 $a(MiAaPQ)EBC1901635 035 $a(EXLCZ)993710000000201156 100 $a20150202h19711971 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCombinatorics /$fN. Ya Villenkin ; translated by A. Shenitzer aned S. Shenitzer 210 1$aNew York, New York ;$aLondon, England :$cAcademic Press,$d1971. 210 4$d©1971 215 $a1 online resource (313 p.) 300 $aIncludes index. 311 $a1-322-56042-0 311 $a0-12-721940-4 327 $aFront Cover; Combinatorics; Copyright Page; Table of Contents; Foreword; Preface to the Russian Edition; Chapter I. General Rules of Combinatorics; Superstitious Cyclists; Samples with Repetitions; Systems of Numeration; Combination Lock; The Morse Code; Signaling at Sea; Electronic Computers; Genetic Code; General Rules of Combinatorics; A Domino Problem; Crew of a Spaceship; A Checkers Problem; How Many People Do Not Know a Foreign Language?; The Principle of Inclusion and Exclusion; Find the Error!; The Sieve of Erastothenes; Chapter II. Samples, Permutations, and Combinations 327 $aSoccer TournamentSamples without Repetitions; Learned Society; Permutations; A Rook Problem; Linguistic Problems; Dancing in a Circle; Permutations with Repetitions; Anagrams; Combinations; The Genoa Lottery; Buying Pastry; Combinations with Repetitions; The Soccer Tournament Revisited; Properties of Combinations; Special Case of the Inclusion and Exclusion Formula; Alternating Sums of Combinations; Chapter III. Combinatorial Problems with Restrictions; Lions and Tigers; Construction of a Staircase; A Bookshelf; Knights of the Round Table; A Girl Has a Date; A Telepathic Se?ance; Derangements 327 $aSubfactorialsCaravan in the Desert; On the Merry-Go-Round; Queue at the Box Office; Problem of Two Rows; Additional Properties of Combinations; Chapter IV. Distributions and Partitions; A Domino Game; Putting Things in Boxes; A Bouquet; The Number of Divisors; Picking Apples; Picking Mushrooms; Sending Photographs; Flags on Masts; Count of All Signals; Various Statistics; Partitions of Numbers; Mailing of Printed Matter; The General Postage Problem; Combinatorial Problems in Information Theory; Problem of the University Applicant; Paying for a Purchase; Purchase of Candy; Getting Change 327 $a(Unordered) Partitions of an IntegerUse of Graphs; Dual Graphs; Euler's Formula; Chapter V5. Combinatorics on a Chessboard; Walking in a Town; The Arithmetical Square; Figurate Numbers; Arithmetical Triangle; The Extended Arithmetical Triangle; Chess King; The Generalized Arithmetical Triangle; Generalized Arithmetical Triangles and Numbers to the Base m; Some Properties of the Numbers Cm(k, n); Checker in a Corner; The Arithmetical Pentagon; Geometric Proofs of Properties of Combinations; Random Walk; Brownian Motion; In the Realm of the Tsarina of Shemakhan; An Absorbing Wall 327 $aRoaming on an Infinite PlaneThe General Rook Problem; Symmetric Arrangements; Two Knights; Chapter VI. Recurrence Relations; Fibonacci Numbers; Another Method of Proof; Successive Partitions; Multiplication and Division of Numbers; Polygon Problems; The Head Steward Faces a Difficulty; Lucky Bus Ticket Numbers; Recurrent Tables; Another Solution of the Problem of the Chief Steward; Solution of Recurrence Relations; Linear Recurrence Relations with Constant Coefficients; The Case of Equal Roots of the Characteristic Equation 327 $aApplication of the Theory of Recurrence Relations to Information Theory 330 $aCombinatorics 606 $aCombinatorial analysis 615 0$aCombinatorial analysis. 676 $a511.6 676 $a511/.6 700 $aVilenkin$b N. I?A$g(Naum I?Akovlevich),$0308824 702 $aShenitzer$b A. 702 $aShenitzer$b S. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786640103321 996 $aCombinatorics$9383548 997 $aUNINA LEADER 07199nam 22006615 450 001 9910887885503321 005 20251225195008.0 010 $a3-031-72335-X 024 7 $a10.1007/978-3-031-72335-3 035 $a(MiAaPQ)EBC31681014 035 $a(Au-PeEL)EBL31681014 035 $a(CKB)35895637800041 035 $a(DE-He213)978-3-031-72335-3 035 $a(OCoLC)1457083435 035 $a(EXLCZ)9935895637800041 100 $a20240917d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks and Machine Learning ? ICANN 2024 $e33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17?20, 2024, Proceedings, Part II /$fedited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (486 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15017 311 08$a3-031-72334-1 327 $a -- Computer Vision: Classification. -- A WEAKLY SUPERVISED PART DETECTION METHOD FOR ROBUST FINE-GRAINED CLASSIFICATION. -- An Energy Sampling Replay-Based Continual Learning Framework. -- Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification. .-Multi-scale convolutional attention fuzzy broad network for few-shot hyperspectral image classification. -- Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification. -- Computer Vision: Object Detection. -- CIA-Net:Cross-modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. -- CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection. -- DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion. -- EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection. -- Global-Guided Weighted Enhancement for Salient Object Detection. -- KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. -- MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. -- One-Shot Object Detection with 4D-Correlation and 4D-Attention. -- Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation. .-SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-Supervised Cross-Domain Aerial Object Detection. -- Computer Vision: Security and Adversarial Attacks. -- BiFAT: Bilateral Filtering and Attention Mechanisms in a Two-Stream Model for Deepfake Detection. -- EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. -- Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-level Forgery Enhancement. -- Generative Universal Nullifying Perturbation for Countering Deepfakes through Combined Unsupervised Feature Aggregation. -- Noise-NeRF: Hide Information in Neural Radiance Field using Trainable Noise. -- Unconventional Face Adversarial Attack. Computer Vision: Image EnhancementComputer Vision: Image Enhancement. -- Computer Vision: Image Enhancement. -- A Study in Dataset Pruning for Image Super-Resolution. -- EDAFormer:Enhancing Low-Light Images with a Dual-Attention Transformer. -- Image Matting Based on Deep Equilibrium Models. -- Computer Vision: 3D Methods. -- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. -- Interactive Color Manipulation in NeRF: A Point Cloud and Palette-driven Approach. -- Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion using Transformer. -- SAM-NeRF: NeRF-based 3D Instance Segmentation with Segment Anything Model. -- Towards High-Accuracy Point Cloud Registration with Channel Self-Attention and Angle Invariance. 330 $aThe ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17?20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15017 606 $aArtificial intelligence 606 $aComputers 606 $aApplication software 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputing Milieux 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aApplication software. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputing Milieux. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aWand$b Michael$01323454 701 $aMalinovská$b Kristína$01769610 701 $aSchmidhuber$b Ju?rgen$00 701 $aTetko$b Igor V$01769612 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910887885503321 996 $aArtificial Neural Networks and Machine Learning ? 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