000 | 08004nam a22006615i 4500 | ||
---|---|---|---|
001 | 978-3-030-92273-3 | ||
003 | DE-He213 | ||
005 | 20240730180940.0 | ||
007 | cr nn 008mamaa | ||
008 | 211204s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030922733 _9978-3-030-92273-3 |
||
024 | 7 |
_a10.1007/978-3-030-92273-3 _2doi |
|
050 | 4 | _aQ337.5 | |
050 | 4 | _aTK7882.P3 | |
072 | 7 |
_aUYQP _2bicssc |
|
072 | 7 |
_aCOM016000 _2bisacsh |
|
072 | 7 |
_aUYQP _2thema |
|
082 | 0 | 4 |
_a006.4 _223 |
245 | 1 | 0 |
_aNeural Information Processing _h[electronic resource] : _b28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part IV / _cedited by Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aXXV, 695 p. 261 illus., 233 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v13111 |
|
505 | 0 | _aApplications -- Deep Supervised Hashing By Classification For Image Retrieval -- Towards Human-level Performance in Solving Double Dummy Bridge Problem -- Coarse-to-Fine Visual Place Recognition -- BFConv: Improving Convolutional Neural Networks with Butterfly Convolution -- Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations -- Vehicle Image Generation Going Well with the Surroundings -- Scale Invariant Domain Generalization Image Recapture Detection -- Tile2Vec with Predicting Noise for Land Cover Classification -- A Joint Representation Learning Approach for Social Media Tag Recommendation -- Identity-based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification -- Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books -- WikiFlash: Generating Flashcards from Wikipedia Articles -- Video Face Recognition with Audio-Visual Aggregation Network -- WaveFuse: A Unified Unsupervised Framework forImage Fusion with Discrete Wavelet Transform -- Manipulation-invariant Fingerprints for Cross-dataset Deepfake Detection -- Low-resource Neural Machine Translation Using Fast Meta-Learning method -- Efficient, Low-Cost, Real-Time Video Super-Resolution Network -- On the Unreasonable Effectiveness of Centroids in Image Retrieval -- Few-shot Classification with Multi-task Self-supervised Learning -- Self-Supervised Compressed Video Action Recognition via Temporal-Consistent Sampling -- Stack-VAE network for Zero-Shot Learning -- TRUFM: a Transformer-guided Framework for Fine-grained Urban Flow Inference -- Saliency Detection Framework Based on Deep Enhanced Attention Network -- SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval -- SS-CCN: Scale Self-guided Crowd Counting Network -- QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment -- An Efficient Manifold Density Estimator for All Recommendation Systems -- Cleora: A Simple, Strong and ScalableGraph Embedding Scheme -- STA3DCNN: Spatial-temporal Attention 3D Convolutional Neural Network for Citywide Crowd Flow Prediction -- Learning Pre-Grasp Pushing Manipulation of Wide and Flat Objects using Binary Masks -- Multi-DIP: A General Framework For Unsupervised Multi-degraded Image Restoration -- Multi-Attention Network for Arbitrary Style Transfer -- Image Brightness Adjustment with Unpaired Training -- Self-Supervised Image-to-Text and Text-to-Image Synthesis -- TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification -- A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages -- A Transformer-based Model for Low-resource Event Detection -- Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning -- Designing and Searching for Lightweight Monocular Depth Network -- Improving Question Answering over Knowledge Graphs Using Graph Summarization -- Multi-Stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction -- End-to-End Edge Detection via Improved Transformer Model -- Isn't it ironic, don't you think -- Neural Local and Global Contexts Learning for Word Sense Disambiguation -- Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification -- Paraphrase Identification with Neural Elaboration Relation Learning -- Hybrid DE-MLP-based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters -- A Mutual Information-based Disentanglement Framework for Cross-Modal Retrieval -- AGRP:A Fused Aspect-Graph Neural Network for Rating Prediction -- Classmates Enhanced Diversity-self-attention Network for Dropout Prediction in MOOCs -- A Hierarchical Graph-based Neural Network for Malware Classification -- A Visual Feature Detection Algorithm Inspired by Spatio-temporal Properties of Visual Neurons -- Knowledge Distillation Method for Surface Defect Detection -- Adaptive Selection of Classifiers for Person Recognitionby Iris Pattern and Periocular Image -- Multi-Perspective Interactive Model for Chinese Sentence Semantic Matching -- An Effective Implicit Multi-Interest Interaction Network for Recommendation. | |
520 | _aThe four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications. | ||
650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aEducation _xData processing. _982607 |
|
650 | 0 |
_aComputer engineering. _910164 |
|
650 | 0 |
_aComputer networks . _931572 |
|
650 | 0 |
_aSocial sciences _xData processing. _983360 |
|
650 | 1 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputers and Education. _941129 |
650 | 2 | 4 |
_aComputer Engineering and Networks. _9122657 |
650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _931815 |
700 | 1 |
_aMantoro, Teddy. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122658 |
|
700 | 1 |
_aLee, Minho. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122659 |
|
700 | 1 |
_aAyu, Media Anugerah. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122660 |
|
700 | 1 |
_aWong, Kok Wai. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122661 |
|
700 | 1 |
_aHidayanto, Achmad Nizar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9122662 |
|
710 | 2 |
_aSpringerLink (Online service) _9122663 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030922726 |
776 | 0 | 8 |
_iPrinted edition: _z9783030922740 |
830 | 0 |
_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v13111 _9122664 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-92273-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c90603 _d90603 |