Revisiting Sub–topic Retrieval in the ImageCLEF 2009 Photo Retrieval Task

2010 ◽  
pp. 277-294
Author(s):  
Teerapong Leelanupab ◽  
Guido Zuccon ◽  
Joemon M. Jose
Keyword(s):  
Retrieval Task

Involuntary Memories of War-Related Scenes in Veterans With PTSD

2021 ◽  
pp. 216770262199454
Author(s):  
Søren Risløv Staugaard ◽  
Annette Kjær Fuglsang ◽  
Dorthe Berntsen
Keyword(s):  
Emotional Response ◽  
Stress Disorder ◽  
Emotional Reactions ◽  
Control Group ◽  
Emotional Impact ◽  
Affect Intensity ◽  
General Control ◽  
Retrieval Task ◽  
Involuntary Memories ◽  
Over Time

Studies suggest that general control deficits and elevated affect intensity in posttraumatic stress disorder (PTSD) extend beyond memory for the index trauma. However, few researchers have pursued this possibility experimentally by examining memory for novel events. We used an experimental design to measure the frequency and characteristics of involuntary memories over time. Veterans with and without PTSD saw pictures of neutral and war-related scenes. Half of the participants completed an involuntary-retrieval task immediately after encoding, whereas the other half completed the retrieval task after 1 week. Veterans with PTSD had stronger emotional reactions to their involuntary memories of the scenes regardless of their original valence. The emotional impact and specificity of the memories did not diminish over time in PTSD veterans but did so in the control group. The findings are consistent with an increased emotional response to a range of memories that include—but are not limited to—memories of traumatic events.

scholarly journals The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light

2010 ◽  
Vol 3 (4) ◽  
pp. 909-932 ◽  
Author(s):  
A. A. Kokhanovsky ◽  
J. L. Deuzé ◽  
D. J. Diner ◽  
O. Dubovik ◽  
F. Ducos ◽  
...  
Keyword(s):  
A Priori ◽  
Light Polarization ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Retrieval Process ◽  
Retrieval Task ◽  
Major Satellite ◽  
Single View ◽  
Intensity Measurements ◽  
Priori Information

Abstract. Remote sensing of aerosol from space is a challenging and typically underdetermined retrieval task, requiring many assumptions to be made with respect to the aerosol and surface models. Therefore, the quality of a priori information plays a central role in any retrieval process (apart from the cloud screening procedure and the forward radiative transfer model, which to be most accurate should include the treatment of light polarization and molecular-aerosol coupling). In this paper the performance of various algorithms with respect to the of spectral aerosol optical thickness determination from optical spaceborne measurements is studied. The algorithms are based on various types of measurements (spectral, angular, polarization, or some combination of these). It is confirmed that multiangular spectropolarimetric measurements provide more powerful constraints compared to spectral intensity measurements alone, particularly those acquired at a single view angle and which rely on a priori assumptions regarding the particle phase function in the retrieval process.

What are your thoughts? Exploring age-related changes in episodic and semantic autobiographical content on an open-ended retrieval task

Memory ◽  
2021 ◽  
pp. 1-9
Author(s):  
Cherie Strikwerda-Brown ◽  
Kayla Williams ◽  
Marianne Lévesque ◽  
Simona Brambati ◽  
Signy Sheldon
Keyword(s):  
Retrieval Task ◽  
Age Related ◽  
Age Related Changes

Going Their Separate Ways: Dissociation of Hippocampal and Dorsolateral Prefrontal Activation during Episodic Retrieval and Post-retrieval Processing

2010 ◽  
Vol 22 (3) ◽  
pp. 513-525 ◽  
Author(s):  
Sarah L. Israel ◽  
Tyler M. Seibert ◽  
Michelle L. Black ◽  
James B. Brewer
Keyword(s):  
Episodic Memory ◽  
Memory Retrieval ◽  
Relative Increase ◽  
Network Activity ◽  
Default Network ◽  
Episodic Retrieval ◽  
Retrieval Task ◽  
Paired Associates ◽  
Hippocampal Activity ◽  
Dorsolateral Prefrontal

Hippocampal activity is modulated during episodic memory retrieval. Most consistently, a relative increase in activity during confident retrieval is observed. Dorsolateral prefrontal cortex (DLPFC) is also activated during retrieval, but may be more generally activated during cognitive-control processes. The “default network,” regions activated during rest or internally focused tasks, includes the hippocampus, but not DLPFC. Therefore, DLPFC and the hippocampus should diverge during difficult tasks suppressing the default network. It is unclear, however, whether a difficult episodic memory retrieval task would suppress the default network due to difficulty or activate it due to internally directed attention. We hypothesized that a task requiring episodic retrieval followed by rumination on the retrieved item would increase DLPFC activity, but paradoxically reduce hippocampal activity due to concomitant suppression of the default network. In the present study, blocked and event-related fMRI were used to examine hippocampal activity during episodic memory recollection and postretrieval processing of paired associates. Subjects were asked to make living/nonliving judgments about items visually presented (classify) or items retrieved from memory (recall–classify). Active and passive baselines were used to differentiate task-related activity from default-network activity. During the “recall–classify” task, anterior hippocampal activity was selectively reduced relative to “classify” and baseline tasks, and this activity was inversely correlated with DLPFC. Reaction time was positively correlated with DLPFC activation and default-network/hippocampal suppression. The findings demonstrate that frontal and hippocampal activity are dissociated during difficult episodic retrieval tasks and reveal important considerations for interpreting hippocampal activity associated with successful episodic retrieval.

Frontal Brain Activity during Episodic and Semantic Retrieval: Insights from Event-Related Potentials

1999 ◽  
Vol 11 (6) ◽  
pp. 598-609 ◽  
Author(s):  
Charan Ranganath ◽  
Ken A. Paller
Keyword(s):  
Prefrontal Cortex ◽  
Memory Retrieval ◽  
Brain Activity ◽  
Novelty Detection ◽  
Event Related Potentials ◽  
Episodic Retrieval ◽  
Semantic Retrieval ◽  
Retrieval Task ◽  
Related Potentials ◽  
The Right

Previous neuropsychological and neuroimaging results have implicated the prefrontal cortex in memory retrieval, although its precise role is unclear. In the present study, we examined patterns of brain electrical activity during retrieval of episodic and semantic memories. In the episodic retrieval task, participants retrieved autobiographical memories in response to event cues. In the semantic retrieval task, participants generated exemplars in response to category cues. Novel sounds presented intermittently during memory retrieval elicited a series of brain potentials including one identifiable as the P3a potential. Based on prior research linking P3a with novelty detection and with the frontal lobes, we predicted that P3a would be reduced to the extent that novelty detection and memory retrieval interfere with each other. Results during episodic and semantic retrieval tasks were compared to results during a task in which subjects attended to the auditory stimuli. P3a amplitudes were reduced during episodic retrieval, particularly at right lateral frontal scalp locations. A similar but less lateralized pattern of frontal P3a reduction was observed during semantic retrieval. These findings support the notion that the right prefrontal cortex is engaged in the service of memory retrieval, particularly for episodic memories.

scholarly journals Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax

2019 ◽  
Author(s):  
Yinfei Yang ◽  
Gustavo Hernandez Abrego ◽  
Steve Yuan ◽  
Mandy Guo ◽  
Qinlan Shen ◽  
...  
Keyword(s):  
United Nations ◽  
State Of The Art ◽  
Cosine Similarity ◽  
Retrieval Task ◽  
Parallel Corpus ◽  
Similar Performance ◽  
Second Stage ◽  
Current State ◽  
Proposed Model ◽  
Document Level

In this paper, we present an approach to learn multilingual sentence embeddings using a bi-directional dual-encoder with additive margin softmax. The embeddings are able to achieve state-of-the-art results on the United Nations (UN) parallel corpus retrieval task. In all the languages tested, the system achieves P@1 of 86% or higher. We use pairs retrieved by our approach to train NMT models that achieve similar performance to models trained on gold pairs. We explore simple document-level embeddings constructed by averaging our sentence embeddings. On the UN document-level retrieval task, document embeddings achieve around 97% on P@1 for all experimented language pairs. Lastly, we evaluate the proposed model on the BUCC mining task. The learned embeddings with raw cosine similarity scores achieve competitive results compared to current state-of-the-art models, and with a second-stage scorer we achieve a new state-of-the-art level on this task.

scholarly journals MS1Connect: a mass spectrometry run similarity measure

2022 ◽  
Author(s):  
Andy Lin ◽  
Brooke L. Deatherage Kaiser ◽  
Janine R. Hutchison ◽  
Jeffrey A. Bilmes ◽  
William Stafford Noble
Keyword(s):  
Mass Spectrometry ◽  
Similarity Measure ◽  
Mass Spectrometry Data ◽  
Retrieval Task ◽  
Show Evidence ◽  
Experimental Protocols ◽  
Highly Correlated

Interpretation of newly acquired mass spectrometry data can be improved by identifying, from an online repos- itory, previous mass spectrometry runs that resemble the new data. However, this retrieval task requires comput- ing the similarity between an arbitrary pair of mass spectrometry runs. This is particularly challenging for runs acquired using different experimental protocols. We propose a method, MS1Connect, that calculates the simi- larity between a pair of runs by examining only the intact peptide (MS1) scans, and we show evidence that the MS1Connect score is accurate. Specifically, we show that MS1Connect outperforms several baseline methods on the task of predicting the species from which a given proteomics sample originated. In addition, we show that MS1Connect scores are highly correlated with similarities computed from fragment (MS2) scans, even though this data is not used by MS1Connect.

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