{"product_id":"pattern-recognition-9783031851803","title":"Pattern Recognition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Clustering and Segmentation.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Self-Supervised Semantic Segmentation from Audio-Visual Data.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Learning Techniques.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Self-Masking Networks for Unsupervised Adaptation.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- A Theoretical Formulation on the Use of Multiple Positive Views in Contrastive Learning\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Decoupling of neural network calibration measures.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Examining Common Paradigms in Multi-Task Learning.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval ..\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Anomaly Detection with Conditioned Denoising Diffusion Models.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Medical and Biological Applications.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Foundation Models Permit Retinal Layer Segmentation Across OCT Devices.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Correlation Clustering of Organoid Images.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Animal Identification with Independent Foreground and Background Modeling.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Bigger Isn’t Always Better: Towards a General Prior for Medical Image Reconstruction.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Uncertainty and Explainability.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Latent Diffusion Counterfactual Explanations.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Uncertainty Voting Ensemble for Imbalanced Deep Regression.\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0cm; line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN;\"\u003e.- Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195452973399,"sku":"9783031851803","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/pattern-recognition-9783031851803","provider":"Book Curl","version":"1.0","type":"link"}