Points of Interest
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Related Articles from SNS
Quantifying the Localization of Histological Staining Markers within the GI Epithelial Unit Axis: A Gastrointestinal Spatial Pathology Plugin for ImageJ
Histological analysis is crucial for understanding gastrointestinal (GI) tract homeostasis and disease pathophysiology. Various histological stains are commonly used in research settings for assessing development, disease pathogenesis, and therapeutic impacts. Specifically in the ordered architecture of the GI epithelium, current semi-quantitative analysis of histological staining relies heavily on manual scoring rubrics and often lacks robust spatial assessment.
Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction
Announce Type: new Abstract: Predicting a user's next Point-of-Interest (POI) based on their historical check-in records is a fundamental task in location-based services. While recent methods incorporating large language models have shown strong reasoning capabilities and promising results, they typically formulate the prediction task as a one-step trajectory-to-location mapping problem, making predictions prone to shallow trajectory correlations and historical frequency bias. We argue that...
Contrastive Training with LLM-generated Near-Misses for Robust Code-Switching Speech Recognition
new Abstract: Code-switching (CS), the alternation between multiple languages within a single utterance, remains challenging for Automatic Speech Recognition (ASR). To address this issue, we propose a Point-of-Interest (POI)-aware contrastive training framework that improves recognition at CS-critical regions. We first identify CS spans by adopting POI detection method from literature, then construct acoustically plausible near-miss hypotheses by perturbing POIs in ASR N-best outputs and...
OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs
arXiv:2606.08046v1 Announce Type: new Abstract: We present OSMGraphCLIP, a CLIP-style geospatial representation model that learns global location embeddings from freely available OpenStreetMap (OSM) data. OSMGraphCLIP represents geographic environments as heterogeneous graphs of typed OSM features, preserving the topological and semantic relationships among roads, buildings, land-use regions, and points of interest. A multi-scale graph encoder captures both fine-grained local structure and...
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
arXiv:2601.21149v3 Announce Type: replace Abstract: Recent progress in geospatial foundation models highlights the importance of learning general-purpose representations for real-world locations, particularly points-of-interest (POIs) where human activity concentrates. Existing approaches, however, focus primarily on place identity derived from static textual metadata, or learn representations tied to trajectory context, which capture movement regularities rather than how places are actually...
Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy
arXiv:2606.03711v1 Announce Type: new Abstract: A publisher who releases check-in trajectories inadvertently publishes a strong predictor of every user's future locations. We address this risk by generating unlearnable trajectories, perturbed sequences that yield victim models with degraded next-Point-of-Interest (next-POI) accuracy on clean test inputs. Direct ports of image-domain unlearnable examples fail on two counts.
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
arXiv:2606.05413v1 Announce Type: new Abstract: As urban environments continue to evolve rapidly, accurately modeling the dynamic behaviour of Points of Interest is essential for supporting data-driven urban planning and commercial decision-making. While recent advancements in spatio-temporal graph learning have improved POI forecasting, most methods rely on proximity-based graphs and correlation-driven modeling, which overlook the functional dependencies between POIs and fail to capture the...
Best Medicine review – this US remake of Doc Martin is perfect rubbish … and you need it in your life
This cosy medical drama does exactly what it sets out to do – soothe viewers’ souls with a celebration of smalltown values and secret goodness. It’s TV where nothing will distress youWell, what in the cultural cringe is going on here? Of all the things I could possibly have imagined the US would take an interest in to the point of executing a straight-to-series commission, Doc Martin would not have been one of them.
Best Medicine review – this US remake of Doc Martin is perfect rubbish … and you need it in your life
This cosy medical drama does exactly what it sets out to do – soothe viewers’ souls with a celebration of smalltown values and secret goodness. It’s TV where nothing will distress youWell, what in the cultural cringe is going on here? Of all the things I could possibly have imagined the US would take an interest in to the point of executing a straight-to-series commission, Doc Martin would not have been one of them.
What Leads to Administrative Bloat? A Dynamic Model of Administrative Cost and Waste
Announce Type: replace Abstract: The functioning of complex systems depends on the coordination of diverse components, often supported by regulatory structures that incur costs. In human organizations, such costs manifest as administrative burden, which has been rising despite often reducing efficiency. Classic explanations point to bureaucrat self-interest or regulation, yet they do not explain variation across organizations or clarify how this burden can be reduced.